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Operator Principal GTM Systems Architect at SecurityScorecard

Lead technical architecture and implementation of AI-powered GTM workflows, automations, and systems across Salesforce, Agentforce, and related platforms.

Lead Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Lead, GTM Engineering and Architecture to drive the technical vision, design, and implementation of our next-generation systems, automations, and AI-powered workflows for our go-to-market teams. Reporting to senior leadership, you will lead technical initiatives across Salesforce, Agentforce, Workato, Zapier, Claude Code, and the broader GTM technology stack to architect scalable, enterprise-grade solutions.

This is a strategic leadership and hands-on builder role. You will partner with leadership across Sales, Marketing, Customer Success, Support, Finance, and Revenue Operations to define the technical roadmap, identify process bottlenecks, and design architectural frameworks. The right person will have an expert-level Salesforce foundation, extensive development credentials, deep experience with scalable architecture, a strong vision for how AI transforms GTM operations, and a passion for mentoring technical talent.

What You’ll Do:

  • Architect and Lead: Design the enterprise architecture for our go-to-market systems and lead the implementation of AI-powered workflows and agents using Salesforce Agentforce.
  • Advanced Development: Architect, build, and oversee advanced Salesforce solutions using Flow, Apex, custom objects, APIs, and other platform capabilities.
  • Scalable Design: Drive scalable system design using object-oriented programming principles and enterprise architecture best practices.
  • Integration Strategy: Own the strategy and technical delivery of integrations across the GTM stack using middleware (Workato, Zapier), APIs, and webhooks.
  • AI Integration: Leverage Claude Code and other AI development tools to rapidly prototype, build, test, and troubleshoot complex solutions.
  • Data Modeling: Design enterprise data models and advanced scoring layers for customer propensity, ICP attribution, and complex lead/account scoring.
  • Strategic Partnership: Collaborate directly with GTM leadership to map strategic business goals to technical requirements and system designs.
  • Mentorship: Mentor and provide technical guidance to GTM engineers and administrators, establishing best practices for code reviews, sprint planning, documentation, testing, and deployment cycles.

Required Qualifications:

  • 7+ years of experience in GTM Engineering, Business Systems Architecture, or a similar advanced technical role.
  • Expert-level, hands-on Salesforce architecture experience, including complex data modeling, API integrations, advanced automation, and security frameworks.
  • Proven experience leading technical projects and architecting solutions across a multi-platform GTM tech stack.
  • Deep expertise in object-oriented programming (Apex, Python, JavaScript) and modular design.
  • Extensive experience building enterprise integrations using Workato, Zapier, JSON, REST APIs, and middleware.
  • Experience designing or configuring advanced AI solutions (e.g., Salesforce Agentforce).
  • Strong strategic problem-solving skills and the ability to translate ambiguous executive requirements into technical blueprints.
  • Excellent technical communication and documentation skills, with a track record of driving system adoption.

Preferred Qualifications:

  • Salesforce Architect certifications (e.g., Application Architect, System Architect).
  • Deep expertise in Salesforce Data Cloud, Revenue Cloud, and Service Cloud.
  • Advanced experience with Model Context Protocol, tool calling, retrieval-augmented generation (RAG), or semantic search.
  • Experience implementing strict CI/CD pipelines using Git, Gearset, Salesforce CLI, or similar tools.
  • Advanced knowledge of GTM platforms such as Clay, LeanData, Gainsight, ZoomInfo, 6sense, or Clari.
  • Experience managing signal-based selling strategies and propensity modeling at an enterprise scale.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $200,000 - $220,00 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator Principal GTM Systems Architect at SecurityScorecard

Leads technical vision and implementation of AI-powered GTM workflows, automations, and systems architecture across Salesforce, Agentforce, and enterprise tech stack.

Lead Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Lead, GTM Engineering and Architecture to drive the technical vision, design, and implementation of our next-generation systems, automations, and AI-powered workflows for our go-to-market teams. Reporting to senior leadership, you will lead technical initiatives across Salesforce, Agentforce, Workato, Zapier, Claude Code, and the broader GTM technology stack to architect scalable, enterprise-grade solutions.

This is a strategic leadership and hands-on builder role. You will partner with leadership across Sales, Marketing, Customer Success, Support, Finance, and Revenue Operations to define the technical roadmap, identify process bottlenecks, and design architectural frameworks. The right person will have an expert-level Salesforce foundation, extensive development credentials, deep experience with scalable architecture, a strong vision for how AI transforms GTM operations, and a passion for mentoring technical talent.

What You’ll Do:

  • Architect and Lead: Design the enterprise architecture for our go-to-market systems and lead the implementation of AI-powered workflows and agents using Salesforce Agentforce.
  • Advanced Development: Architect, build, and oversee advanced Salesforce solutions using Flow, Apex, custom objects, APIs, and other platform capabilities.
  • Scalable Design: Drive scalable system design using object-oriented programming principles and enterprise architecture best practices.
  • Integration Strategy: Own the strategy and technical delivery of integrations across the GTM stack using middleware (Workato, Zapier), APIs, and webhooks.
  • AI Integration: Leverage Claude Code and other AI development tools to rapidly prototype, build, test, and troubleshoot complex solutions.
  • Data Modeling: Design enterprise data models and advanced scoring layers for customer propensity, ICP attribution, and complex lead/account scoring.
  • Strategic Partnership: Collaborate directly with GTM leadership to map strategic business goals to technical requirements and system designs.
  • Mentorship: Mentor and provide technical guidance to GTM engineers and administrators, establishing best practices for code reviews, sprint planning, documentation, testing, and deployment cycles.

Required Qualifications:

  • 7+ years of experience in GTM Engineering, Business Systems Architecture, or a similar advanced technical role.
  • Expert-level, hands-on Salesforce architecture experience, including complex data modeling, API integrations, advanced automation, and security frameworks.
  • Proven experience leading technical projects and architecting solutions across a multi-platform GTM tech stack.
  • Deep expertise in object-oriented programming (Apex, Python, JavaScript) and modular design.
  • Extensive experience building enterprise integrations using Workato, Zapier, JSON, REST APIs, and middleware.
  • Experience designing or configuring advanced AI solutions (e.g., Salesforce Agentforce).
  • Strong strategic problem-solving skills and the ability to translate ambiguous executive requirements into technical blueprints.
  • Excellent technical communication and documentation skills, with a track record of driving system adoption.

Preferred Qualifications:

  • Salesforce Architect certifications (e.g., Application Architect, System Architect).
  • Deep expertise in Salesforce Data Cloud, Revenue Cloud, and Service Cloud.
  • Advanced experience with Model Context Protocol, tool calling, retrieval-augmented generation (RAG), or semantic search.
  • Experience implementing strict CI/CD pipelines using Git, Gearset, Salesforce CLI, or similar tools.
  • Advanced knowledge of GTM platforms such as Clay, LeanData, Gainsight, ZoomInfo, 6sense, or Clari.
  • Experience managing signal-based selling strategies and propensity modeling at an enterprise scale.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $200,000 - $220,00 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator Principal AI Architect at SecurityScorecard

Leads system design and architecture for agentic AI capabilities, establishing standards and technical direction for production-scale AI platform integration.

Lead Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Principal Software Architect to lead the system design of our agentic AI capabilities and serve as a technical anchor for engineering teams building the next generation of our platform. This is an individual contributor role reporting to the Chief Architect, alongside a Front-end Architect and a Data-focused Architect, and partnering closely with engineering leadership, Product, and Data Science.

We’re looking for someone who can go deep technically and also move a room: an architect whose designs get adopted because they’re well-reasoned and well-communicated, not just handed down.

You will lead the system design for how agentic features are built, integrated, and operated reliably at production scale, working in close partnership with our Data Science team, who bring the model and ML depth. Your focus is the system: orchestration, state and memory, tool boundaries, failure semantics, and how all of it composes with the wider platform.

Like the rest of our architecture function, you’ll prototype to prove out decisions rather than implement full solutions, and you’ll set direction through Technical Design Reviews (TDRs), and standards. Deep data-engineering specialization isn’t required, but you should be comfortable reasoning about data flows, storage decisions, and how agentic systems consume and act on data.

What You’ll Do

  • Own the system design for our agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
  • Write the TDRs, design docs, and standards that set architectural direction for agentic work across teams
  • Prototype to validate architectural decisions before teams commit to them at scale
  • Partner with Data Science so that agent and model work composes cleanly with existing platform services, from APIs and event streaming through to storage
  • Review TDRs from across engineering, giving teams substantive feedback on architecture and risk, not only on AI work
  • Build consensus across engineering teams and get them genuinely aligned, not merely compliant
  • Help drive the shift to AI-assisted and agentic development across engineering, shaping how engineers design, review, and iterate in an AI-native workflow
  • Mentor senior and staff engineers on agentic system design and measurably elevate the technical bar
  • Communicate architectural decisions and their trade-offs clearly to executives and customers

Required Qualifications:

  • 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
  • Deep expertise in distributed systems: service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
  • Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, not just demos: agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
  • Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch, sufficient to make informed architectural calls without deep specialization in the domain
  • A track record of influence without authority: presenting a technical direction to skeptical engineers and earning genuine buy-in, and giving rigorous design review feedback on systems you didn’t build yourself
  • Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding, plus a history of raising the technical bar around you
  • Ability to communicate complex architectural decisions clearly to executives and customers
  • Comfort operating as a senior individual contributor, driving outcomes through prototyping and technical credibility

Preferred Qualifications:

  • Familiarity with multi-agent orchestration patterns (supervisor and sub-agent architectures, agent handoffs), which our use cases are likely to grow toward
  • Experience with our stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
  • Experience leading AI-assisted or agentic development adoption across an engineering organization; given the scope of this work at SecurityScorecard, this carries significant weight
  • Experience partnering closely with data science or ML teams on productionizing their work
  • Cybersecurity industry background

Our Tech Stack

Our platform runs on Node.js and TypeScript, with a React Microfrontend Architecture and PostgreSQL and ClickHouse for storage. We use Kafka for event streaming, and our infrastructure runs on AWS with Kubernetes, Terraform, Helm, and ArgoCD. We are actively expanding our AI/ML infrastructure. You do not need to have used every tool here, but you should be comfortable reasoning across a stack of this kind and making principled architectural trade-offs within it.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $270,000 - $330,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator GTM AI Operations - India at JumpCloud

Designs and deploys AI-powered outbound workflows across GTM systems to automate prospecting, enrichment, and engagement while improving pipeline generation and seller productivity.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What You’ll Be Doing:

Reporting to the Sr. Director of Marketing Operations, this role will focus on designing, building, and operationalizing agentic outbound systems that improve pipeline generation efficiency and seller productivity.

Core Objectives:

Build Agentic Outbound Systems

  • Design and deploy AI outbound workflows that automate account sourcing, contact acquisition, research, prioritization, personalization, sequencing, and engagement orchestration.

Operationalize AI at Scale

  • Move beyond isolated AI experiments by building repeatable, production-ready workflows that integrate across Salesforce, Marketo, Clay, sequencing platforms, enrichment providers, and engagement tools.

Improve Outbound Efficiency

  • Reduce manual BDR work through automation while increasing outbound quality, targeting precision, personalization, and activity scalability.

Accelerate Pipeline Generation

  • Support the evolution of JumpCloud’s outbound programs through AI targeting, signal-based prioritization, automated enrichment, and intelligent workflow orchestration.

Ship Fast and Iterate

  • Rapidly prototype, deploy, measure, and improve GTM workflows with a strong bias toward execution and measurable business impact.

We’re Looking For:

A highly technical GTM operator who enjoys building systems, automations, and workflows that solve real revenue problems. This person thrives in fast-moving environments, is comfortable working across both strategy and execution, and prefers shipping solutions over discussing hypotheticals.

Success in this role is measured by deployed workflows and operational improvements that increase outbound efficiency, pipeline generation, or seller productivity.

Required Qualifications:

GTM Systems & Operations

  • Hands-on experience working within modern GTM systems including Salesforce, Marketo, Gong Engage, enrichment providers, and outbound engagement platforms.

  • Experience building and maintaining workflows across tools such as Clay, Openprise, Zapier, Replit, or similar orchestration platforms.

  • Strong understanding of outbound operations, lead/account flows, enrichment strategies, segmentation, and GTM data management.

  • In-depth understanding of how MCPs work and demonstrated experience applying best practices for MCP utilization and efficiency.

AI & Automation

  • Practical experience applying AI and automation to GTM workflows beyond experimentation.

  • Experience working with LLMs (preferably Claude Cowork & Code), prompt workflows, structured outputs, AI-assisted personalization, and integrating AI outputs into operational systems.

  • Familiarity with APIs, automation logic, webhooks, and lightweight scripting to connect systems and automate processes.

  • Understanding of concepts such as agentic workflows, signal-based automation, RAG, embeddings, or AI orchestration frameworks is a plus.

Builder Mentality

  • Proven ability to independently build and operationalize workflows from idea → deployment → iteration.

  • Comfortable using no-code, low-code, and lightweight coding approaches to deliver solutions quickly.

  • Strong troubleshooting mindset with the ability to identify bottlenecks and improve workflow reliability at scale.

Cross-Functional Collaboration

  • Ability to partner effectively with Marketing, Sales, RevOps, and Data teams to align priorities and execute quickly.

  • Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Operating Style

  • Highly self-directed and execution-oriented with a strong bias toward action.

  • Comfortable operating in ambiguity and iterating quickly as priorities evolve.

  • Motivated by solving operational problems and building systems that create measurable business impact.

#LI-YA1

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role.

Language:

JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud®’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®.  Please note JumpCloud® is not accepting third party resumes at this time.

JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

Read the full description
Operator Principal AI Architect at SecurityScorecard

Leads system design and architecture of agentic AI capabilities, defining orchestration patterns, state management, and integration standards for production AI systems.

Lead Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Principal Software Architect to lead the system design of our agentic AI capabilities and serve as a technical anchor for engineering teams building the next generation of our platform. This is an individual contributor role reporting to the Chief Architect, alongside a Front-end Architect and a Data-focused Architect, and partnering closely with engineering leadership, Product, and Data Science.

We’re looking for someone who can go deep technically and also move a room: an architect whose designs get adopted because they’re well-reasoned and well-communicated, not just handed down.

You will lead the system design for how agentic features are built, integrated, and operated reliably at production scale, working in close partnership with our Data Science team, who bring the model and ML depth. Your focus is the system: orchestration, state and memory, tool boundaries, failure semantics, and how all of it composes with the wider platform.

Like the rest of our architecture function, you’ll prototype to prove out decisions rather than implement full solutions, and you’ll set direction through Technical Design Reviews (TDRs), and standards. Deep data-engineering specialization isn’t required, but you should be comfortable reasoning about data flows, storage decisions, and how agentic systems consume and act on data.

What You’ll Do

  • Own the system design for our agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
  • Write the TDRs, design docs, and standards that set architectural direction for agentic work across teams
  • Prototype to validate architectural decisions before teams commit to them at scale
  • Partner with Data Science so that agent and model work composes cleanly with existing platform services, from APIs and event streaming through to storage
  • Review TDRs from across engineering, giving teams substantive feedback on architecture and risk, not only on AI work
  • Build consensus across engineering teams and get them genuinely aligned, not merely compliant
  • Help drive the shift to AI-assisted and agentic development across engineering, shaping how engineers design, review, and iterate in an AI-native workflow
  • Mentor senior and staff engineers on agentic system design and measurably elevate the technical bar
  • Communicate architectural decisions and their trade-offs clearly to executives and customers

Required Qualifications:

  • 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
  • Deep expertise in distributed systems: service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
  • Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, not just demos: agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
  • Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch, sufficient to make informed architectural calls without deep specialization in the domain
  • A track record of influence without authority: presenting a technical direction to skeptical engineers and earning genuine buy-in, and giving rigorous design review feedback on systems you didn’t build yourself
  • Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding, plus a history of raising the technical bar around you
  • Ability to communicate complex architectural decisions clearly to executives and customers
  • Comfort operating as a senior individual contributor, driving outcomes through prototyping and technical credibility

Preferred Qualifications:

  • Familiarity with multi-agent orchestration patterns (supervisor and sub-agent architectures, agent handoffs), which our use cases are likely to grow toward
  • Experience with our stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
  • Experience leading AI-assisted or agentic development adoption across an engineering organization; given the scope of this work at SecurityScorecard, this carries significant weight
  • Experience partnering closely with data science or ML teams on productionizing their work
  • Cybersecurity industry background

Our Tech Stack

Our platform runs on Node.js and TypeScript, with a React Microfrontend Architecture and PostgreSQL and ClickHouse for storage. We use Kafka for event streaming, and our infrastructure runs on AWS with Kubernetes, Terraform, Helm, and ArgoCD. We are actively expanding our AI/ML infrastructure. You do not need to have used every tool here, but you should be comfortable reasoning across a stack of this kind and making principled architectural trade-offs within it.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $240,000 - $300,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator Senior Forward Deployed Engineer at SecurityScorecard

Deploy onsite with customers to build AI-native solutions that integrate SecurityScorecard into their security workflows and automate risk analysis.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

  • Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
  • Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
  • Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
  • Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
  • Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
  • Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
  • Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
  • Prototype rapidly in the field, then harden solutions into supportable, production quality software
  • Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
  • Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
  • Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

  • 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
  • Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
  • A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
  • Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
  • Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
  • Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
  • Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
  • Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
  • Excellent communication skills, translating between technical detail and business or financial impact
  • Bias toward action and comfort with ambiguity
  • Prior experience in cybersecurity, GRC, or risk management is a strong plus
  • Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator Senior Forward Deployed Engineer at SecurityScorecard

Deploy onsite with strategic customers to build AI-native solutions that integrate SecurityScorecard into their existing security workflows and automate risk analysis.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

  • Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
  • Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
  • Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
  • Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
  • Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
  • Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
  • Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
  • Prototype rapidly in the field, then harden solutions into supportable, production quality software
  • Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
  • Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
  • Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

  • 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
  • Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
  • A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
  • Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
  • Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
  • Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
  • Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
  • Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
  • Excellent communication skills, translating between technical detail and business or financial impact
  • Bias toward action and comfort with ambiguity
  • Prior experience in cybersecurity, GRC, or risk management is a strong plus
  • Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales AI automation workflows, integrates AI platforms with business systems, and develops production-grade solutions on n8n Enterprise using APIs and low-code tools.

Mid Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales n8n automation workflows, designs AI solutions, integrates external AI platforms with internal systems, and maintains production-grade automation infrastructure.

Mid Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales AI automation workflows using n8n, integrates AI platforms with business systems, and develops custom AI solutions to support key business processes.

Mid Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Product Operations Lead at Typeform

Builds and operates internal AI workflows across R&D, identifying high-value AI problems, designing solutions, and ensuring reliable adoption and performance.

Lead Posted 3 days ago RemoteFirstJobs Product
What this role involves

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the team

Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.

AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.

The opportunity now is to turn that energy into something more systematic.That’s where you come in.

About the role

We’re looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.

This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You’ll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.

One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly.

You’ll own the connective layer between AI strategy and day-to-day execution across R&D.

This isn’t a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We’re looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through.

You’ll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform.

What you’ll do

  • Build and continuously improve our backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence the jobs where AI can have the greatest impact.
  • Take ambiguous problems from initial discovery through to delivery: understand the user and workflow, explore options and trade-offs, design the right system, build or coordinate implementation, test, document, launch, measure, and improve.
  • Design simple, AI-native solutions that fit naturally into how people work. You’ll know when a prompt is enough—and when the problem calls for a workflow, integration, agent, database, or custom application.
  • Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on areas including access, configuration, connectors, enablement, and support.
  • Own the lifecycle of the AI systems within your portfolio, including automations, skills, agents, and internal web applications.
  • Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance—using evidence and feedback to improve systems over time.
  • Partner with teams across R&D to uncover needs, unblock delivery, clarify ownership, and bring the right experts into the work.
  • Help run and evolve our R&D AI governance and enablement practices, giving leaders better visibility into active work, risks, adoption, and outcomes.
  • Participate in Typeform’s broader AI governance efforts as an R&D contributor.
  • Work with Finance and other partners to improve visibility into AI tool usage, spend, and value, helping inform investment decisions.
  • Explore and support the development of autonomous agents that can improve how we plan, discover, design, build, evaluate, and manage work across the product development lifecycle.

What you’ll bring

  • Strong practical experience applying AI to real-world problems—not just experimenting with models, but building solutions that people actually use.
  • A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement.
  • Excellent systems thinking. You can understand how people, processes, tools, data flows, integrations, permissions, and technical constraints fit together—and make thoughtful trade-offs between different approaches.
  • Strong user and workflow discovery skills. You know how to get beyond the initial request, understand the real job to be done, and simplify a solution when the original approach is more complex than it needs to be.
  • Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications.
  • Practical experience with modern development practices and tools such as GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting.
  • Experience managing work independently: prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating clearly with stakeholders.
  • A strong approach to evaluation and reliability. You think about what “good” looks like, how to test for it, how to collect feedback, and how to improve a system after it goes live.
  • The ability to work effectively across technical and non-technical teams. You’re comfortable asking questions, challenging assumptions, seeking expert input, and making progress without needing close day-to-day direction.
  • Good judgment around responsible AI, security, access, and governance, and an understanding of when to bring in the right partners.

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

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Operator AI Operations Engineer at OpenZeppelin

Designs, implements, and maintains AI workflows and agents that automate business processes across the company, while providing product feedback on the internal AI automation framework.

Mid Posted 3 days ago RemoteFirstJobs Product
What this role involves

About us

OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world’s transition to an open financial system, built on open standards and secured by rigorous research.

Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap.

We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.

Please note: Always refer to OpenZeppelin’s official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information.

The AI Operations Team

The AI Operations team owns the agentic layer the rest of the company runs on. We build the workflows, agents, and scheduled tasks that automate business processes end to end, and we build and maintain the proprietary framework those components ship in. Every business unit at OpenZeppelin is a customer of this team.

What you’ll be doing

The role has two primary work streams.

AI workflow design, implementation, and maintenance. You understand the fundamental AI building blocks that we use in the company, and you work with interdisciplinary business units to help them identify flows in their processes that can be optimized and automated with AI.

Internal AI automation framework product feedback and contribution. Based on the experience that you obtain as a consumer of the internal AI automation framework, and on your study of the ecosystem, you provide product feedback (feature requests, bug reports, etc.), contribute to the source code of the framework, and take part in peer review and development.

  • Work together with different business units in the company to understand where and how AI can be applied in their daily workflows to improve their overall productivity.
  • Design, implement, test, and maintain AI automation workflows and scheduled tasks that encapsulate and automate business processes that span the company.
  • Monitor and measure automation executions, and iterate on the components that underperform.
  • Provide product feedback for fixes and new features in the internal AI automation framework, and peer review and actively maintain its source code as a developer on the AI Operations team.
  • Run training sessions and write internal guides on applied AI topics such as skill development, agent design, and prompt/context engineering.

You have

  • Hands-on experience building applied AI systems, and fluency with both the concepts involved (prompt engineering, context engineering, prompt caching, tool use, progressive disclosure) and the fundamental building blocks: skills, remote and local MCP servers, agents, and agent harnesses.
  • Practical experience with LLM provider APIs and gateways, such as the the OpenAI Chat Completions and Responses APIs, the Anthropic Messages API, or OpenRouter.
  • Ability to read, write, and structure Markdown-based systems (skills, agent definitions, workflow specs, and knowledge bases), alongside TypeScript development experience and solid Git and GitHub fluency: branches, pull requests, reviews, and the discipline to keep shared repositories clean.
  • A security-first mindset: you think about what an autonomous agent should not be allowed to do before you ship it.
  • Strong ability to communicate deeply technical topics, both written and spoken, and patience working with non-technical colleagues. You will be their bridge into the agentic workflow.

Nice to have

  • Familiarity with AI software development techniques like spec-driven development or RPI (Research, Plan, Implement), with the principal AI development harnesses like Claude Code, Codex, or OpenCode, and with SDD tooling like Superpowers or Spec Kit.
  • Experience running evaluations of LLM systems (evals, benchmarks, regression testing of prompts).
  • Ability to work autonomously and as a collaborator on the team.

Logistics:

Our interview process takes place on Google Meet or Zoom and tends to consist of the following stages:

  • Recruiter Call (30 minutes)
  • Hiring Manager Call (60 minutes)
  • Team Interview (30 minutes)
  • Leadership Interview (30 minutes)
  • Paid work trial (10-20 hours of paid work)
  • Reference checks

Benefits

  • Meet your teammates at company gatherings around the world 😎
  • Enjoy the flexibility of fully remote work 🌎
  • Take the time you need with flexible time off 🏝
  • Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙
  • Build your ideal home office with up to $500 in equipment support 🪑
  • Stay covered with medical insurance 🏥
  • Keep growing with learning and development opportunities 🧠
  • Get a monthly stipend for your preferred co-working space 💻

At OpenZeppelin, we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us!

Use of AI as part of the recruiting process

As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice.

If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Read the full description
Operator Solution Engineer at RelationalAI

Embeds with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, working with executives and data teams to solve high-stakes business problems.

Mid Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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Operator AI Automation Specialist at Pavago

Designs, builds, and optimizes AI-powered automation workflows using platforms like Zapier, Make, and n8n to eliminate manual work and improve operational efficiency across business departments.

Mid Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

AI Automation Specialist – Remote

AI Automation | Workflow Automation | Zapier | Make | n8n | OpenAI | Process Optimization

Position Type: Full-Time, Remote

Location: Remote (LATAM, Pakistan, South Africa, Eastern Europe Preferred)

Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring an AI Automation Specialist to design, build, and optimize intelligent automation systems that eliminate manual work and improve operational efficiency across the business.

This is a hands-on, execution-focused role combining AI integration, workflow automation, system integrations, and process optimization. You’ll leverage modern automation platforms, APIs, and AI models to create scalable solutions that streamline operations across departments including operations, sales, marketing, HR, finance, and customer support.

If you’re passionate about AI, automation, and building systems that save time, reduce errors, and scale business operations, this role is an excellent opportunity to make a measurable impact.

What You’ll Own

Process Analysis & Automation Design

  • Analyze existing workflows and identify automation opportunities.
  • Design scalable AI-powered workflows that reduce manual effort.
  • Translate business requirements into efficient automation solutions.
  • Recommend automation strategies that improve scalability and operational efficiency.
  • Continuously identify process improvements and eliminate bottlenecks.

AI & Workflow Automation

  • Build, deploy, and maintain workflows using platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Integrate AI services including:

    • OpenAI (ChatGPT)
    • Claude
    • Gemini
    • Anthropic
    • Other LLM APIs
  • Develop AI-powered workflows for:

    • Content generation
    • Data processing
    • Classification
    • Summarization
    • Customer support
    • Lead management
    • Employee onboarding
    • Internal operations

Systems Integration

  • Connect business applications using APIs and webhooks.
  • Configure triggers, actions, filters, and conditional logic.
  • Ensure reliable synchronization across business systems.
  • Troubleshoot workflow failures, API errors, and integration issues.
  • Build scalable, maintainable automation architectures.

Optimization & Performance

  • Monitor workflow performance, reliability, and execution success.
  • Optimize automation speed, scalability, and maintainability.
  • Improve workflow logic using performance data and user feedback.
  • Continuously reduce manual effort through automation enhancements.

Documentation & Collaboration

  • Document workflows, integrations, logic, and system dependencies.
  • Collaborate with operations, marketing, leadership, and technical teams.
  • Communicate automation performance and business impact.
  • Train internal teams on automation processes and best practices.

Requirements

Must-Have Qualifications

Experience

  • Experience in:

    • Workflow Automation
    • Process Optimization
    • Systems Operations
    • Business Process Engineering
  • Hands-on experience with automation platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Experience integrating AI platforms including:

    • OpenAI
    • Claude
    • Gemini
    • Anthropic
    • Similar AI services

Technical Skills

  • Strong understanding of:

    • APIs
    • Webhooks
    • JSON
    • System integrations
  • Strong troubleshooting and analytical problem-solving skills.

  • Excellent communication and technical documentation abilities.

  • Reliable internet connection and professional remote workspace.

Nice-to-Have

  • Experience with Python or JavaScript.

  • Familiarity with:

    • Airtable
    • Google Sheets
    • Notion
    • Database-driven workflows
  • Experience integrating:

    • HubSpot
    • Salesforce
    • Other CRM platforms
  • Knowledge of prompt engineering and AI workflow optimization.

  • Experience with RPA tools such as:

    • UiPath
    • Automation Anywhere
  • Experience building AI agents, internal assistants, or operational automation systems.

Tools & Technologies

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate
  • OpenAI
  • Claude
  • Gemini
  • APIs & Webhooks
  • Google Workspace
  • Slack
  • Asana
  • ClickUp

What Makes You a Strong Fit

  • Passionate about automation and AI technologies.
  • Strong systems thinker with an operational mindset.
  • Able to transform business challenges into scalable automation solutions.
  • Comfortable collaborating with both technical and non-technical stakeholders.
  • Organized with excellent documentation habits.
  • Curious, adaptable, and continuously learning emerging AI technologies.
  • Self-driven and comfortable working independently in a remote environment.

What a Typical Day Looks Like

  • Analyze existing business workflows for automation opportunities.
  • Build and test AI-powered workflows.
  • Integrate business systems using APIs and automation platforms.
  • Troubleshoot workflow failures and optimize automation logic.
  • Monitor automation performance and system reliability.
  • Document automation processes and technical workflows.
  • Collaborate with stakeholders to implement operational improvements.

In short: You design and build AI-powered automation systems that reduce manual work, improve operational efficiency, and help the business scale.

Key Metrics for Success (KPIs)

  • Number of operational workflows successfully automated
  • Automation reliability and uptime
  • Reduction in manual tasks and operational inefficiencies
  • Accuracy and scalability of automation systems
  • Speed of implementation and optimization cycles
  • Quality of documentation and process clarity
  • Stakeholder satisfaction and measurable business impact

Why This Role Stands Out

  • Build impactful AI-powered automation systems used across the business.

  • Work with cutting-edge AI and automation technologies.

  • High ownership and autonomy over automation initiatives.

  • Opportunity to improve business operations at scale.

  • Collaborative, innovation-focused remote environment.

  • Clear career growth into:

    • Senior AI Automation Engineer
    • Automation Architect
    • AI Solutions Engineer
    • Business Systems Lead

Interview Process

  1. Initial Phone Screen
  2. Spark Hire Intro Video (3–5 minutes)
  3. Practical Assessment (Automation or Workflow Scenario)
  4. Final Client Interview
  5. Offer & Onboarding

What Happens After You Apply

Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you.

Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds.

Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed.

Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application.

Apply Now

If you’re passionate about AI, automation, and building scalable systems that solve real business problems, we’d love to hear from you. Apply today and help transform manual operations into intelligent, AI-driven workflows.

Read the full description
Operator Solution Engineer at RelationalAI

Works with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, modeling business problems and shipping production solutions.

Mid Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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Operator AI Consultant - AI & Automation platform (m/f/d) at METRO AG

Acts as a strategic bridge between business and technology to identify, prioritize, and drive adoption of AI and automation solutions across the organization.

Mid Posted 4 days ago RemoteFirstJobs Product
What this role involves

Company Description

About us:

Passion for food. Hunger for tech. We make METRO digital.

Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale.

You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!

How you will make an impact?

We are looking for an AI Consultant to serve as a strategic bridge between business and technology, driving the adoption and successful integration of AI and automation solutions across our organization. In this role, you will act as the key translator between AI & Automation strategy and business needs, ensuring that solutions are aligned with METRO’s overall vision. You will engage with stakeholders to identify, assess, and prioritize high-impact AI and automation use cases using data-driven ROI metrics and consult them to unlock the potential of AI and automation.

Develop clear requirements, user stories, and value cases that adhere to AI Platform standards and strategic priorities. Collaborate with cross-functional teams—including Research, Tech, and Business—to design user-centric, data-driven solutions and guide their implementation.

This position offers a dynamic opportunity to shape the future of wholesale by leveraging your expertise to deliver measurable business value through intelligent automation.

Job Description

Your Responsibilities:

  • Being the translator of AI & Automation Strategy to business and back to the AIA Platform and consult the organization to unlock the potential of AI & Automation;
  • Engage with business stakeholders to identify and prioritize potential AI and Automation use cases based on ROI metrics;
  • Facilitate workshops, interviews, and data-driven assessments across METRO organization, to define value propositions and feasibility for the use cases;
  • Translate business needs into actionable requirements, user stories, and value cases aligned with platform standards;
  • Ensure alignment of identified opportunities with strategic AI themes and portfolio priorities in line with AI Strategy;
  • Partner the Squad Lead on roadmap planning, backlog prioritization, and sprint readiness; support agile delivery and stakeholder management;
  • Partner with AIA Platform leadership team, to ensure consistency from ideation to benefit tracking.
  • Support KPI definition, value measurement, and quarterly reporting (QBRs);
  • Act as a local AI ambassador within the squad’s domain, promoting adoption and responsible use of AI solutions;
  • Support rollout, training, and communication of new AI and automation products.

Qualifications

Required key competencies and qualifications:

  • Subject Matter Expertise: Understands well its area of responsibility (AI & Automation), all related systems, processes and products;
  • Discovery: Conducts qualitative and quantitative research with the support of the Research team. Applies the right methodologies to find out relevant information about the user and their problems and needs;
  • Data Driven Decision making: Number driven business opportunities identification, be able to set up value measurement concepts and interpret results from econometrically point of view;
  • Consultancy: Understands the demands of the internal client, selects and explains the right solution. With the proactive behavior, being always a helping hand to solve with cutting-edge technology and bring new ideas to the stakeholder: One more thing mindset;
  • Business Requirements Analysis: Analyses the business requirements and transforms them into AI & Automation opportunities;
  • Communication: Conveys or shares ideas, feelings and information effectively using the most appropriate methods, tools and channels for the respective audience. Good verbal, written and inter-personal communication skills. Very good fluency in English (written and verbal);
  • Process Architecture: Understands the big picture of AI & Automation product portfolio, how it first in METRO´s solution landscape and knows how it supports METRO’s strategy, objectives and their measurement.

Additional Information

What we offer at METRO.digital?

  • Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup.

  • People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation … it´s time to upskill your career.

  • Support with individual solutions: we are people-caring!

We offer support whenever you need it - at every stage of your professional journey.

Want to know more about all our benefits? Discover more here.

Let´s connect soon. Apply for the role now!

Position grade within our career framework: AI Consultant (Md7).

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Operator Senior Financial Analyst, FP&A (AI First) at Unbounce

Builds and operates AI-driven FP&A workflows, automating recurring financial analysis and reporting while validating AI outputs for accuracy.

Senior Remote Posted 6 days ago RemoteFirstJobs Product
What this role involves

Senior Financial Analyst, FP&A (AI First)

Department: Operations

Location: Remote, Canada or US

Position Type: Full-Time, Permanent

Hours: Monday-Friday, 9AM-5PM (in your time zone)

About the Role

Unbounce is looking for a Senior Financial Analyst, FP&A (AI First) to join our FP&A team. You’ll run our budgeting and forecasting cycles, prepare monthly reporting, support the accounting team through month-end close, and partner with teams across the business to answer financial questions.

This is an AI-native role: the outputs are familiar (an annual budget, a rolling forecast, a monthly reporting package, board metrics), but you will spend a meaningful share of your time building the systems that produce them rather than producing them by hand. Every employee at Unbounce has Claude, and our billing and accounting stack was rebuilt this year on Recurly and Rillet, so the data layer underneath you is new rather than inherited.

Concretely, when a recurring analysis takes four hours by hand, we expect your instinct to be to build the thing that does it in four minutes next month, and then to be the person who can tell whether its answer is right. The second half matters more than the first. Automation without judgment is worse than no automation, and this role owns both.

We’re after someone dependable and detail-oriented who communicates clearly and whose first instinct on a repetitive task is to automate it. You don’t need to have done every item on this list. If you’re strong in most areas and willing to learn the rest, we’d like to hear from you.

What You’ll Be Doing

Build and operate AI-driven finance workflows

  • Design, build and maintain the AI agents and automated workflows that carry the recurring FP&A load: variance analysis, first-pass commentary, cohort and retention analysis, board metric refreshes, and the routine data pulls underneath all of them.
  • Use AI as a default part of your workflow, across analysis, modeling, reporting, and commentary, within our team practices and data-handling guidelines.
  • Use Claude, which every employee here already has, to speed up analysis, automate recurring reporting, draft first-pass variance commentary, and pressure-test your own assumptions before numbers go out.
  • Build the context these agents need in order to be reliable: metric definitions, documented data lineage from source system to report, and explicit rules for how each number is constructed. An agent is only as good as the context it can reach.
  • Decide what should and should not be automated. Draw and defend the line between work an agent runs unsupervised, work an agent drafts for human review, and work that stays fully manual.
  • Own the finance team’s shared library of agents, prompts, skills and calculation templates. Treat it as a deliverable in its own right, versioned and documented, so that it keeps producing when you are on vacation.
  • Own what the tools produce, review AI-assisted work to the same standard as your own, and know when a question needs judgment instead. Build the checks in: validation against source, reconciliation, and a review step that catches a wrong answer before it reaches leadership or the board.
  • Raise the ceiling for the people around you. Some of your highest-leverage work will be enabling your business partners to answer their own questions rather than producing the analysis yourself.

Planning and forecasting

  • Prepare Own the annual budget and quarterly/monthly forecast updates, gathering inputs from department leaders.
  • Maintain the company’s financial model (revenue, expenses, headcount, and cash) and keep the key assumptions up to date. Structure it so that running a new scenario is a configuration change, not a rebuild.
  • Run scenario analysis to help leadership weigh decisions, using AI to build and iterate on cases faster than a manual model rebuild allows, fast enough to be useful in the meeting where the decision is actually being made.

Reporting

  • Own the monthly reporting package: actuals versus budget and forecast, variance analysis, and commentary. AI-drafted first pass, then edited and owned by you.
  • Help prepare materials for leadership and board meetings, including our key metrics and dashboards.
  • Work with the accounting team during month-end close to make sure results are accurate and on time.

Metrics and analysis

  • Own our core SaaS metrics (ARR/MRR, net and gross revenue retention, churn, CAC, and LTV) and keep the definitions consistent.
  • Look at customer, product, and segment profitability and take the findings to the people who can act on them.
  • Build and maintain reports in our BI tools so teams can see the numbers they need, and so that analysts, dashboards and agents all draw on one trusted source rather than several competing ones.

Working with the business

  • Be the finance point of contact for Sales, Marketing, Product, and G&A, helping them manage budgets and understand spend.
  • Partner with Data and Analytics to scope reporting needs, so what we build answers the right questions.
  • Help evaluate the costs and benefits of proposed projects and investments.
  • Handle ad-hoc analysis requests as they come up.

A Little Bit About You

  • A reliable instinct for when a machine-generated answer is wrong. This is a very important qualification for this role.
  • Structured thinking: you can break a vague business question into defined, verifiable steps, which is the same skill that makes an agent work.
  • Demonstrated use of AI tools in real finance work. You can walk us through something you automated or accelerated, and how you checked the output.
  • Experience building AI-assisted workflows: prompt-based reporting, scripting, or connecting AI tools to finance data sources.
  • 3–5+ years of experience in FP&A, corporate finance, or a similar analytical finance role. We weight demonstrated ability to build with AI as heavily as two additional years of conventional experience.
  • Experience at a SaaS or subscription business, or willingness to get up to speed on the model.
  • A good understanding of common SaaS metrics (ARR, retention, churn, CAC, LTV) and what drives them.
  • Solid financial modeling and Excel/Google Sheets skills. Excel and Google Sheets are output formats here rather than the core skill; the core skill is breaking a FP&A question down precisely enough that an agent can run it reliably and repeatably.
  • A working knowledge of the three financial statements and subscription revenue recognition.
  • The ability to explain financial results clearly to people outside of finance.
  • Comfort with ERP, planning, and BI tools (e.g. NetSuite, Cube, QuickSight, or similar).
  • An understanding of how finance and business systems fit together and how data moves between them, and the ability to scope reporting needs with Data teams.
  • A willingness to work in the open, documenting what you build so that someone else can run it.
  • A Bachelor’s degree in Finance, Accounting, Economics, or a related field.

Nice to Have

  • Experience partnering with Sales or RevOps on pipeline, quota, or go-to-market planning.
  • Exposure to headcount and workforce planning alongside the People team.
  • SQL or comfort working with larger datasets.
  • MBA, CFA, or CPA.

Our Stack

  • Every employee has a Claude account. Recurly for billing and Rillet for accounting, both implemented this year. QuickSight for business intelligence.

Share Our Values

  • Customer First
  • Bias for Action
  • High Velocity Decision Making
  • Inclusion
  • Results Focused

Compensation

Our compensation bands are designed to reflect how people grow in their roles. Each level includes three stages: Developing, Proficient and Expert, which represent increasing capability, independence and impact over time.

The compensation range for this role is $95,000 to $110,000 CAD which reflects the Proficient stage of our compensation band for this job level (P3). For United States based applicants, the compensation range for this role is $100,000 to $120,000 USD.

Progression into higher stages and job levels may occur over time based on demonstrated performance, mastery of role expectations and overall impact. For specialized or hard-to-fill roles, we may extend offers above the posted range if a candidate brings exceptional experience.

Perks & Benefits

Flexibility and Time Off

  • Flexible Time Off Policy - We encourage a minimum of 4 weeks per year!
  • Remote First Team
  • Flexible Hours
  • Work From Anywhere Program

Health and Wellness

  • Health Insurance
  • Employee Assistance Program (EAP)
  • Quarterly Company Wide Recharge Days
  • End of Year Company Wide Holiday Closure
  • Maternity & Parental Leave Program
  • $2000 Lifestyle Spending Account (LSA)

Growth & Future

  • Professional Development Budget
  • Volunteer Day
  • Team Building Budget
  • Employee Referral Bonus Program ($1000)
  • Anniversary Milestone LSA Top Up
  • Birthday Day Off

We Value Individuality!

At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others we learn from each other. We innovate and co-create an environment where team members can do the best work of their careers. We’re bolder and more brilliant together.

We’re dedicated to ensuring each team member feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.

We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.

If you require any accommodations or support during the recruitment process, please email us at careers@unbounce.com.

Our use of AI in hiring

We’re committed to keeping hiring personal. Every application is reviewed by a real person on our team, and we don’t use AI to screen or filter candidates out.

We do use AI to help with assessing candidates and summarizing interview feedback. These tools support our team in working more efficiently and reducing bias. All final hiring decisions are made by people who bring their judgment and experience to determine who joins our team.

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Operator Automations Engineer, Post Sales Systems

Sets up and manages automations within ClickUp's post-sales systems, likely configuring workflows and AI features for customer operations.

Mid Posted 6 days ago Jobicy AI
What this role involves
At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an...
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Operator T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant at 20four7VA

Manages and configures GoHighLevel workflows, automations, integrations, and systems to optimize client business operations and efficiency.

Senior Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant

Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses.

The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client’s direction and independently execute the technical setup within the platform.

The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client’s connected systems continue operating correctly.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

GHL Workflows & Automation

  • Build, edit, test, and maintain GoHighLevel workflows
  • Create and manage pipelines and opportunity stages
  • Configure automation triggers, actions, and follow-up sequences
  • Troubleshoot workflows that are not functioning as intended
  • Test automations before implementation
  • Monitor existing workflows and make necessary improvements
  • Help ensure contacts entering GHL trigger the correct automated processes

GHL System & Integration Support

  • Maintain and organize existing GHL accounts and assets
  • Support integrations between GHL and the client’s other applications
  • Test incoming data and automation triggers
  • Troubleshoot basic integration or data-flow issues
  • Assist with forms, contact management, email templates, and other GHL functionality
  • Recommend practical improvements based on GHL capabilities

Website Management

  • Maintain and update websites built using GoHighLevel
  • Edit pages, content, forms, links, and other website elements
  • Create or modify basic GHL website pages as needed
  • Ensure website forms and other elements connect properly to GHL workflows
  • Troubleshoot basic website issues within the GHL environment

Technical & Project Support

  • Manage assigned tasks through ClickUp
  • Document completed changes and technical configurations
  • Communicate clearly regarding technical limitations or recommended solutions
  • Test completed work before marking tasks complete
  • Assist with ongoing GHL monitoring and maintenance as needed

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

  • Hands-on GoHighLevel experience required/ expert
  • Experience building GHL workflows and automations required
  • Experience creating and managing GHL pipelines required
  • Experience with GHL websites, forms, and related assets strongly preferred
  • Experience troubleshooting GHL workflows and integrations strongly preferred
  • Experience with CRM integrations and data flows preferred
  • Strong technical troubleshooting skills
  • Strong attention to detail
  • Ability to communicate technical information clearly
  • ClickUp experience preferred

IDEAL CANDIDATE PROFILE

  • Highly proficient in GoHighLevel
  • Strong understanding of workflows, automations, and pipelines
  • Able to take a business requirement and translate it into a functional GHL setup
  • Comfortable troubleshooting existing configurations
  • Technically minded and detail-oriented
  • Able to work independently without extensive micromanagement
  • Comfortable making practical recommendations within GHL
  • Strong problem-solving and testing habits
  • Organized when managing multiple technical tasks

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

  • GoHighLevel – Required
  • ClickUp – Preferred
  • Google Workspace
  • CRM / Integration Tools
  • AI Tools – Familiarity Preferred

Work Schedule

  • Contracted Hours per Week: 10 Hours
  • Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
  • Daily Working Time: Flexible – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

  • Contractors will operate under a Master Services Agreement and a Statement of Work
  • This is not an offer of employment; contractors are not employees of 20four7VA or any client
  • All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

  • REQUIRED SERVICE: Technical VA
  • REQUESTED EXPERIENCE TIER LEVEL: Senior Level
  • Contracted Hours per Week: 10 hours/week
  • Daily Working Time: Flexible – TBD
  • Scheduled Working Days: Monday-Friday
  • REPORTING TO/POC: To Be Determined
  • Number of VAs: 1
  • GENDER PREFERENCE: None
  • LANGUAGES SPOKEN/PREFERENCE: English
  • ACCENT PREFERENCE: Level A-C (Strong English Communication Required)
  • REGION PREFERENCES: Any

What we offer

  • Competitive rates
  • Weekly payments
  • Various open roles are available
  • Free training and upskilling
  • Constant support and guidance
  • A vibrant community always ready to support you
  • And more!
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Operator AI Deployment Engineer at Gladly

Designs AI use cases, builds integrations and workflows, and optimizes customer AI deployments to automate experience and reduce handle times.

Mid Posted 7 days ago RemoteFirstJobs Product
What this role involves

About Gladly

For business leaders who want to get AI right, Gladly is the only customer experience AI that delivers the cost savings they need AND the customer devotion that drives lasting business value. With over a decade of singular CX focus and trusted by the world’s most customer-centric brands including Crate & Barrel, Breeze Airways, and Ulta Beauty, Gladly was designed for devotion, not deflection: purpose-built to engage customers and turn every conversation into lasting relationship equity. The result is experiences that are radically personal and effortlessly scalable, emotionally intelligent and operationally efficient.

At the heart of our simply powerful platform, Gladly maintains one continuous conversation across all channels while striking the perfect balance of AI and human connection. With 450M+ conversations powered globally, $510M+ cumulative cost savings delivered for customers, and a 65% increase in CSAT, this is a team where your work has real impact at scale. Learn more at www.gladly.ai.

The Team

The AI Deployment Engineering team is the tip of the spear for every new AI rollout at Gladly, working hands-on with our most strategic customers to implement, optimize, and expand their use of our AI. The culture is collaborative and experimental: we solve hard problems together, so this is no place for a lone wolf. You will report to the Manager of AI Delivery and partner closely with Implementation Managers, Professional Services Engineering, and Solution Engineering.

The Opportunity

This role puts you at the center of how Gladly’s top brands adopt AI. You will design AI use cases, build the integrations and workflows behind them, and continuously optimize for the highest possible resolution rates. The goal is simple and high-stakes: help customers automate more of their customer experience, reduce handle time, and get measurably more value from Gladly’s AI all while building end consumer devotion.

You are technical enough to build on your own and polished enough to lead the customer conversation. You can decompose a vague request into a concrete plan, connect  the APIs, write the actions, workflows and guides that make the AI useful, and explain it all back to the customer in plain language. You hold yourself accountable, communicate proactively, and are energized by ambiguity and new technology.

Because this is an emerging discipline, you will help write Gladly’s playbook for what a great AI deployment looks like. It is highly technical and highly customer-facing, and that balance is exactly what makes it work.

We’re looking for someone with a passion for working directly with APIs, java script and AI  the curiosity to solve complex problems, and the initiative to thrive in a fast-paced SaaS environment.

What You’ll Do

Solution Design & Business Analysis

  • Partner with customers to decompose ambiguous goals into concrete, buildable AI use cases, uncovering hidden complexity and edge cases along the way.
  • Determine whether the data a use case needs is available, identify the right APIs or MCP sources, and secure access.

Integration & Technical Build

  • Use Gladly’s CLI to register APIs on the App Platform, making customer data accessible to Gladly AI and agents.
  • Write app actions in JavaScript to condense large API payloads down to the fields the AI actually needs.
  • Build the workflows and guides that tell Gladly’s AI how to use that information and respond to the customer.

Optimization & Customer Success

  • Own use cases end to end after launch: monitor performance, optimize, and build new use cases that lift assist and resolution rates.
  • Give proactive status updates to customers and the internal team, and partner with SAMs and Implementation Managers to keep goals and timelines aligned.
  • Participate in QBRs and EBRs to show progress and ensure customers are getting measurable value.

Pre-Sales & Cross-Functional Partnership

  • Partner with Solutions Engineering on pre-sales demos, and pull in Professional Services Engineering for the most complex custom work.

What We’re Looking For

  • 3-5 years in a technical, customer-facing role such as technical account management, solutions or sales engineering, support engineering, professional services, or forward-deployed engineering, ideally in SaaS, AI, or CX technology.
  • Hands-on technical ability: you can read an API payload and write JavaScript to transform it, you understand REST APIs, JSON, and webhooks, and you are comfortable in a CLI. You build things yourself rather than handing them off.
  • Strong business analysis skills: you turn an ambiguous customer goal into clear requirements and a workable solution design.
  • Exceptional English communication (C1-C2 / business fluent), with the ability to explain complex technical concepts to non-technical stakeholders.
  • Genuine curiosity about AI and an aptitude for prompt engineering and workflow design.
  • Accountability and proactivity: you make commitments, keep them, communicate status without being asked, and thrive in ambiguity.
  • Based in Colombia, able to work core US business hours or with significant overlap.
  • CX, contact center, or CX SaaS background is a strong plus. Forward-deployed or deployment engineering experience at an AI company is a bonus.

Salary for this role: $40,000 - $54,000 USD (may be paid in USD or COL pesos, depending on COR or EOR contract options - but this is a full-time opportunity)

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Gladly’s bonus plan for eligible roles. In addition to cash compensation, all Gladly’s employees are eligible to participate in Gladly’s equity incentive plan to receive stock options per the terms of the agreement. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

Why Join Gladly?

Gladly is redefining customer experience AI; we’re designed for devotion, not deflection. We put people at the center of everything we build, from our platform to our culture. When you join us, you’ll enjoy:

  • Competitive salaries, stock options, and comprehensive benefits
  • Generous paid time off, parental leave, and home office stipends
  • A fully remote work environment with opportunities for in-person team gatherings
  • A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
  • A company where AI is not a buzzword. We build AI products and we expect our team to use AI tools daily

We’re a team that believes in transparency, collaboration, and the idea that the best work happens when talented people genuinely enjoy working together. Top talent, good vibes, no politics. If this role excites you but you don’t meet every qualification, we still encourage you to apply. The perspectives and experiences you bring matter more than checking every box.

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