Finite State
QA Engineering Manager
United States or Canada · Staff+
Sponsorship not specified$210k-$240kDetected 60 days ago
JavaScriptTypeScriptPythonJavaCI/CDDevOpsLLMsAgentic AIProduct ManagementSupply ChainPerformance ManagementEmbedded SystemsTest AutomationLeadershipCommunicationCollaborationMentoring
About the role
- This is a true "player/coach" role: part technical authority, part people leader.
- 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.
Responsibilities
- Manage, mentor, and develop a team of QA engineers and automation specialists.
- Provide regular coaching, feedback, performance management, and career development support.
- Partner with Engineering leadership on team planning, hiring, organizational growth, and resource allocation.
- Lead by example as a hands-on technical contributor while empowering engineers to grow and succeed.
- Lead a team that is designing and implementing AI-agent-driven QA workflows (e.g., autonomous test generation, regression validation, autonomous testing agents).
- Develop strategies for testing AI-based product features (e.g., model behavior validation, output consistency, guardrail enforcement).
- Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems.
- We move with urgency and intent - we're transparent, own outcomes, put customers first, speak up, and learn fast - turning evidence into action. CLARITY is how we move fast without breaking trust.
- L - Leverage - Outsource the routine. Own the result.
- Own the result.
Requirements
- 10+ years of experience in QA engineering, with deep expertise in automation.
- 3+ years of experience leading or managing technical QA or engineering teams.
- Proven experience designing and implementing automated test frameworks at scale.
- Experience with cloud-based CI/CD systems and modern DevOps practices.
- Experience balancing strategic leadership responsibilities with hands-on technical execution.
- Experience using AI tools and agents in development workflows.
- Experience with autonomous test generation or AI-assisted test maintenance is highly desirable.
- Excellent communication skills with the ability to influence Product and Engineering leaders.
Compensation
- Our salary ranges are categorized into two tiers based on geographic location:
- Tier 1 (San Francisco, New York, Seattle): $210,000 - $240,000
- Tier 2 (All Other Locations): $190,000 - $220,000
- The final base salary will be determined by experience, skill set, and specific location. In addition to base pay, this role is eligible for equity and benefits.
Benefits
- Build an inclusive, high-performing engineering culture focused on learning and innovation.
- Leverage AI to improve test coverage, defect detection, root cause analysis, and release confidence.
Company info
- 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.
- Learn from customers.
- Our mission-securing the connected products humanity depends on-is the reason Finite State exists.
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This listing is sourced directly from Finite State's careers page and normalized into a canonical job model.