Finite State
Product Security
QAEngineeringManager
Neural analysis suggests this role is
optimal for Lead candidates.
“QA Engineering Manager at Finite State. Skills: QA Engineering Leadership, AI-Driven Quality Strategy, Automation Architecture, Team Management. Manage, mentor, and develop QA team. Provide coaching, feedback, performance management”
What You'll Achieve.
QA is largely automated and AI-driven; Quality metrics are visible, measurable, and continuously improving; Developers rely on AI-driven test systems; Release confidence is high with reduced regression rates; Quality is embedded into the product lifecycle; The QA organization is highly engaged, continuously learning, and growing technically; Engineers receive clear mentorship, career guidance, and leadership support; Cross-functional teams view QA as a strategic engineering partner
Industry & Context.
root cause analysis; technical problem solving
What They're Looking For.
Must Have
10+ years of experience in QA engineering, deep expertise in automation, 3+ years of experience leading or managing technical QA or engineering teams, Demonstrated thought leadership and hands-on implementation experience building AI-driven or agentic quality systems, Proven experience designing and implementing automated test frameworks at scale, programming skills (e.g., Python, JavaScript/TypeScript, Java, or similar), Experience with cloud-based CI/CD systems, modern DevOps practices, Demonstrated success leading cross-functional technical initiatives, Experience balancing strategic leadership responsibilities with hands-on technical execution
Nice to Have
Experience using AI tools and agents in development workflows, Deep understanding of AI agents, LLMs, and approaches for testing 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), people leadership, coaching, and mentoring skills, Excellent communication skills with the ability to influence Product and Engineering leaders, Experience driving process improvements across teams and organizations, Ability to build trust, align teams, and lead through ambiguity and change, A mindset focused on systems thinking, scalability, continuous improvement, and operational excellence, organizational and prioritization skills with the ability to manage competing demands
What You'll Do.
performance management
Foster accountability
Partner with Engineering leadership on planning
Establish role expectations
Lead by example as technical contributor
high-performing culture
Design and implement AI-agent-driven QA workflows
Integrate LLM-based tooling into CI/CD
Leverage AI to improve test coverage
Evaluate and introduce emerging AI QA tooling
Develop strategies for testing AI features
Leverage AI to build autonomous QA systems
Partner closely with Product on outcomes
Embed quality earlier in lifecycle
Drive developer co-ownership of quality
Lead post-incident quality reviews
Define and standardize quality processes
Own end-to-end QA strategy
Lead transition to AI-driven quality
Establish quality metrics
Serve as technical authority on testing
Drive technical decision-making
Balance strategic thinking with hands-on
Communicate quality trends
Build frameworks and reusable infrastructure
Contribute to automation architecture
Mentor engineers on best practices
Participate in technical reviews
Remain close to technology and process
How You'll Work.
Team & Collaboration
Partner with Engineering leadership on team planning; Partner closely with Product to drive outcomes; Work with Engineering leadership to embed quality; Drive a culture where developers co-own quality; Communicate quality trends, risks, and strategic priorities to technical and non-technical stakeholders; Cross-functional collaboration with Product and Engineering
Communication Scope
Excellent communication skills; ability to influence Product and Engineering leaders
Process & Methodology
organizational and prioritization skills, manage competing demands
Full Job Description
Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains. Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities. We are a fast-growing series-B company with a fully distributed workforce. Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface. We are committed to a remote first culture. QA Engineering Manager Overview We are seeking an experienced QA engineering leader to drive quality strategy, execution, and team leadership within an AI-first development organization. This is not a traditional QA management role — we are looking for a hands-on technical leader who can both architect modern quality systems and lead, mentor, and grow a high-performing QA engineering organization. This is a true “player/coach” role: part technical authority, part people leader. You will be responsible for defining and implementing an AI-first quality engineering strategy while also managing and developing a team of QA engineers and automation specialists. In our environment, AI is a first-class partner in software creation. The QA Staff/Lead Engineering Manager will define how quality is engineered into the product using automation, AI agents, scalable processes, and strong cross-functional collaboration with Product and Engineering. If you have deep QA automation expertise, experience leading technical teams, and are excited about redefining quality in an AI-native development lifecycle, we want to talk to you. What You’ll Do People Leadership & Team Development Manage, mentor, and develop a team of
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