Finite State
Sr. Engineering Manager
United States or Canada · Senior · Full-time
Sponsorship not specified$230k-$332kDetected 34 days ago
JavaScriptTypeScriptPythonReactNext.jsNode.jsGitPostgreSQLRedisAWSDockerKubernetesCI/CDOAuthLLMsCybersecurityProduct ManagementSupply ChainEmbedded SystemsTest AutomationLeadershipCommunicationMentoring
About the role
- You will be responsible for driving execution, scaling teams, and embedding AI-powered development and testing practices into every stage of the SDLC.
- Delivering consistently high-quality, production-grade software is a key requirement of this role.
Responsibilities
- Lead, mentor, and grow a team (or teams) of 5-15+ engineers
- Drive delivery of software that meets strict, measurable standards for quality, reliability, and maintainability
- Partner closely with Product Management to translate customer needs into scalable, high-quality systems
- Define and implement AI-driven quality strategies across your teams
- Build and operationalize automated and autonomous testing systems, including AI-generated test cases (unit, integration, end-to-end), self-healing test suites, and agent-assisted validation
- Define and implement AI-first development workflows across your teams
Requirements
- 5+ years of software engineering experience
- 3+ years of engineering management experience leading teams of 5-15+ engineers
- Proven track record of delivering high-quality, production-grade systems with measurable outcomes
- Experience defining and enforcing quality standards through automation and systems, not manual processes
Skills
- Hands-on experience with AI-powered developer tools and workflows (e.g., Cursor, Claude, Codex, or similar)
- Strong understanding of how to apply LLMs and agent-based systems to code generation, testing and validation, and developer productivity
- Ability to evaluate emerging AI technologies pragmatically and integrate them into real-world systems
- Deep understanding of modern testing strategies and quality engineering
- Experience defining and operating against SLOs/SLIs, reliability and performance targets, and data-driven engineering metrics
- Strong bias toward automation, instrumentation, and continuous validation
- Strong coaching and mentoring skills
- Ability to drive alignment and influence across teams
- Clear communicator across technical and business contexts
- Software Security / Application Security
- Software Supply Chain Security (SCA, SBOMs, CI/CD security)
- Experience in cybersecurity, IoT, or embedded systems domains
Compensation
- $230,000 - $332,000
- Customer first
- Learn from customers. Ship with urgency.
- Outsource the routine. Own the result.
- We take responsibility-end to end.
- Ship value. Improve fast.
Benefits
- Manage technical debt strategically to ensure sustainable velocity and system health
- Leverage LLMs and agent-based systems to continuously expand test coverage, identify edge cases, and reduce manual QA effort while increasing confidence
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This listing is sourced directly from Finite State's careers page and normalized into a canonical job model.