Finite State

Product Security

QAEngineeringManager

$190–240k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Product Security
Problems you'll solve

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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