QA Lead Engineer
Remote
United States, Canada
$120,000 - $160,000/yearly
Senior Level
Top Benefits
Equity for all employees
Medical, dental, vision coverage
401k retirement plan
About the role
Who you are
- If you have over a decade of QA automation experience and are excited about redefining what quality means in an AI-native development lifecycle, we want to talk to you
- 10+ years of experience in QA engineering, with deep expertise in automation
- Demonstrated thought leadership and hands on implementation experience with creating AI-driven Agentic quality systems
- Proven experience designing and implementing automated test frameworks at scale
- Strong programming skills (e.g., Python, JavaScript/TypeScript, Java, or similar)
- Experience with Cloud based CI/CD systems and modern DevOps practices
- Demonstrated technical leadership in cross-functional teams
- Experience using AI tools and agents in development workflows
- Deep experience with AI Agents and LLMs and how to test AI-driven systems
- Experience with autonomous test generation or AI-assisted test maintenance is highly desirable
- Understanding of challenges specific to testing AI systems (non-determinism, hallucination, evaluation frameworks)
- Strong communication skills with the ability to influence Product and Engineering leaders
- Experience driving process improvements across teams
- Ability to operate strategically while remaining hands-on
- A mindset focused on systems thinking, scalability, and continuous improvement
What the job involves
- We are seeking an experienced QA Lead Engineer to drive quality strategy and execution within an AI-first development organization
- This is not a traditional QA lead role — we are looking for a hands-on technical leader who can architect and implement an automated, AI-first quality framework that scales with modern software development
- Ur environment, AI is a first-class partner in software creation. The QA Lead Engineer will define how quality is engineered into the product using automation, AI agents, and deep collaboration with Product and Engineering
- Define and own the end-to-end QA strategy for an AI-first engineering team
- Architect scalable, fully automated testing frameworks across backend, frontend, APIs, and AI-powered features
- Lead the transition from traditional QA practices to AI-driven quality engineering
- Establish quality metrics, SLAs, and measurable standards across the product lifecycle
- Serve as the technical authority on testing architecture, tooling, and best practices
- Design and implement AI-agent-driven QA workflows (e.g., autonomous test generation, regression validation, autonomous testing agents)
- Integrate LLM-based or AI-assisted tooling into CI/CD pipelines
- Leverage AI to improve test coverage, defect detection, root cause analysis, and release confidence
- Evaluate and introduce emerging AI QA tooling and frameworks
- Develop strategies for testing AI-based product features (e.g., model behavior validation, output consistency, guardrail enforcement)
- Partner closely with Product to define acceptance criteria, quality gates, and risk assessments
- Work with Engineering leadership to embed quality earlier in the development lifecycle
- Drive a culture where developers co-own quality and automation
- Lead post-incident quality reviews and implement systemic improvements
- Define and standardize quality processes across squads
- Leverage AI to build autonomous QA systems that understand the context of product decisions, and use that context to drive the highest quality
- Build frameworks and reusable testing infrastructure
- Mentor engineers on best practices in automation and AI-driven testing
- What Success Looks Like:
- QA is largely automated and AI-driven
- Quality metrics are visible, measurable, and improving
- Developers rely on AI-driven test systems as part of daily workflows
- Release confidence is high with reduced regression rates
- Quality is embedded into the product lifecycle, not bolted on
- You will help define what QA looks like in an AI-first organization
- This role goes beyond writing tests — it is about designing a quality system where AI agents collaborate with engineers to proactively identify, prevent, and fix defects
- This is an opportunity to lead the evolution of quality engineering
Benefits
- The Usuals: We offer equity for everyone. Medical, dental, vision covered, 401k, short and long-term disability, and life insurance
- Work-life synergy: We take time off and flexibility seriously. Our team is fully remote all across the US, enjoys unlimited PTO, and is entitled to 12 weeks of parental leave
- Mission driven team: We are a team of experts and dedicated professionals—but more than that, we are a diverse group of individuals who support one another in our work and in our mission
- Transparent culture: With bi-weekly business updates, an open-door policy with the executive team, a fireside chat series with our board and other stakeholders, we make sure that everyone on the team has access to what’s going on throughout the company
- Social & supportive environment: We work hard to ensure that Finite State is a fun, comfortable place to work no matter your background. Teams work together to ensure that everyone feels supported and has their needs met, and our vibrant social calendar gives us a myriad of opportunities to kick back and have a good time
About Finite State
Computer and Network Security
51-200
We enable product security teams – the guardians of the connected world – to protect the devices we rely on every day through market-leading software threat, vulnerability, and risk management.
Finite State is the leading provider of product cyber security solutions for connected devices and embedded systems, including IoT, medical devices, and OT/ICS.
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QA Lead Engineer
Remote
United States, Canada
$120,000 - $160,000/yearly
Senior Level
Top Benefits
Equity for all employees
Medical, dental, vision coverage
401k retirement plan
About the role
Who you are
- If you have over a decade of QA automation experience and are excited about redefining what quality means in an AI-native development lifecycle, we want to talk to you
- 10+ years of experience in QA engineering, with deep expertise in automation
- Demonstrated thought leadership and hands on implementation experience with creating AI-driven Agentic quality systems
- Proven experience designing and implementing automated test frameworks at scale
- Strong programming skills (e.g., Python, JavaScript/TypeScript, Java, or similar)
- Experience with Cloud based CI/CD systems and modern DevOps practices
- Demonstrated technical leadership in cross-functional teams
- Experience using AI tools and agents in development workflows
- Deep experience with AI Agents and LLMs and how to test AI-driven systems
- Experience with autonomous test generation or AI-assisted test maintenance is highly desirable
- Understanding of challenges specific to testing AI systems (non-determinism, hallucination, evaluation frameworks)
- Strong communication skills with the ability to influence Product and Engineering leaders
- Experience driving process improvements across teams
- Ability to operate strategically while remaining hands-on
- A mindset focused on systems thinking, scalability, and continuous improvement
What the job involves
- We are seeking an experienced QA Lead Engineer to drive quality strategy and execution within an AI-first development organization
- This is not a traditional QA lead role — we are looking for a hands-on technical leader who can architect and implement an automated, AI-first quality framework that scales with modern software development
- Ur environment, AI is a first-class partner in software creation. The QA Lead Engineer will define how quality is engineered into the product using automation, AI agents, and deep collaboration with Product and Engineering
- Define and own the end-to-end QA strategy for an AI-first engineering team
- Architect scalable, fully automated testing frameworks across backend, frontend, APIs, and AI-powered features
- Lead the transition from traditional QA practices to AI-driven quality engineering
- Establish quality metrics, SLAs, and measurable standards across the product lifecycle
- Serve as the technical authority on testing architecture, tooling, and best practices
- Design and implement AI-agent-driven QA workflows (e.g., autonomous test generation, regression validation, autonomous testing agents)
- Integrate LLM-based or AI-assisted tooling into CI/CD pipelines
- Leverage AI to improve test coverage, defect detection, root cause analysis, and release confidence
- Evaluate and introduce emerging AI QA tooling and frameworks
- Develop strategies for testing AI-based product features (e.g., model behavior validation, output consistency, guardrail enforcement)
- Partner closely with Product to define acceptance criteria, quality gates, and risk assessments
- Work with Engineering leadership to embed quality earlier in the development lifecycle
- Drive a culture where developers co-own quality and automation
- Lead post-incident quality reviews and implement systemic improvements
- Define and standardize quality processes across squads
- Leverage AI to build autonomous QA systems that understand the context of product decisions, and use that context to drive the highest quality
- Build frameworks and reusable testing infrastructure
- Mentor engineers on best practices in automation and AI-driven testing
- What Success Looks Like:
- QA is largely automated and AI-driven
- Quality metrics are visible, measurable, and improving
- Developers rely on AI-driven test systems as part of daily workflows
- Release confidence is high with reduced regression rates
- Quality is embedded into the product lifecycle, not bolted on
- You will help define what QA looks like in an AI-first organization
- This role goes beyond writing tests — it is about designing a quality system where AI agents collaborate with engineers to proactively identify, prevent, and fix defects
- This is an opportunity to lead the evolution of quality engineering
Benefits
- The Usuals: We offer equity for everyone. Medical, dental, vision covered, 401k, short and long-term disability, and life insurance
- Work-life synergy: We take time off and flexibility seriously. Our team is fully remote all across the US, enjoys unlimited PTO, and is entitled to 12 weeks of parental leave
- Mission driven team: We are a team of experts and dedicated professionals—but more than that, we are a diverse group of individuals who support one another in our work and in our mission
- Transparent culture: With bi-weekly business updates, an open-door policy with the executive team, a fireside chat series with our board and other stakeholders, we make sure that everyone on the team has access to what’s going on throughout the company
- Social & supportive environment: We work hard to ensure that Finite State is a fun, comfortable place to work no matter your background. Teams work together to ensure that everyone feels supported and has their needs met, and our vibrant social calendar gives us a myriad of opportunities to kick back and have a good time
About Finite State
Computer and Network Security
51-200
We enable product security teams – the guardians of the connected world – to protect the devices we rely on every day through market-leading software threat, vulnerability, and risk management.
Finite State is the leading provider of product cyber security solutions for connected devices and embedded systems, including IoT, medical devices, and OT/ICS.