Sr. Engineering Manager

Sr. Engineering ManagerWe are seeking an Engineering Manager to lead and grow high-performing teams while redefining how modern, AI-native engineering organizations build and ship software.This role is for a leader who has managed teams of 5–15+ engineers and is passionate about building systems where quality is enforced, measured, and continuously improved through automation, observability, and AI-driven workflows.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.Team Leadership & ExecutionLead, mentor, and grow a team (or teams) of 5–15+ engineersDrive delivery of software that meets strict, measurable standards for quality, reliability, and maintainabilityEstablish clear expectations where quality is owned by the team and enforced through systems, not heroicsFoster a culture of accountability, continuous improvement, and engineering excellenceCustomer Impact & Product ExcellenceEnsure engineering decisions are grounded in customer outcomes and product impactPartner closely with Product Management to translate customer needs into scalable, high-quality systemsDefine and track metrics connecting engineering output to customer satisfaction, product adoption, and business outcomesBalance speed, quality, and innovation in service of real-world user valueAI-Native Quality & Testing SystemsDefine and implement AI-driven quality strategies across your teamsBuild and operationalize automated and autonomous testing systems, including AI-generated test cases (unit, integration, end-to-end), self-healing test suites, and agent-assisted validationLeverage LLMs and agent-based systems to continuously expand test coverage, identify edge cases, and reduce manual QA effort while increasing confidenceEnsure quality is continuously validated in CI/CD, not deferred to later stagesProcess, Tooling & ObservabilityDesign and enforce engineering processes where quality gates are automated and non-bypassableImplement AI-powered tooling across the SDLC: code generation and review assistants, automated code quality and security analysis, and intelligent CI/CD pipelines with adaptive testingEstablish comprehensive observability including logging, metrics, tracing, alerting, and SLOs/SLIs aligned with customer expectationsUse production data to detect issues early, predict and prevent failures, and drive continuous evidence-based improvementTrack and improve key engineering metrics: test coverage, mutation testing scores, defect rates, production incident frequency, and service reliabilityAI-Native Engineering PracticesDefine and implement AI-first development workflows across your teamsEvaluate and integrate modern AI tooling (copilots, LLMs, agent-based systems)Ensure AI adoption increases both velocity and qualityStay current with emerging AI capabilities and translate them into practical engineering improvementsTechnical Strategy & ExecutionContribute to and execute the technical roadmap in alignment with business objectivesBalance innovation (AI-first approaches) with long-term maintainabilityManage technical debt strategically to ensure sustainable velocity and system healthGuide architectural decisions that enable scale, reliability, and agilityWhat We're Looking ForRequired Experience5+ years of software engineering experience3+ years of engineering management experience leading teams of 5–15+ engineersProven track record of delivering high-quality, production-grade systems with measurable outcomesExperience defining and enforcing quality standards through automation and systems, not manual processesExperience partnering with Product Management to deliver customer-focused solutionsOur Tech StackLanguages: TypeScript, JavaScript, PythonFrontend: Next.js, ReactBackend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript servicesData: PostgreSQL (Supabase + AWS RDS during migration), RedisAuth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, SnykInfrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CDAI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriateAI-Native MindsetHands-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 productivityAbility to evaluate emerging AI technologies pragmatically and integrate them into real-world systemsQuality, Observability & Systems ThinkingDeep understanding of modern testing strategies and quality engineeringExperience building or scaling automated testing frameworks, CI/CD pipelines with enforced quality gates, and observability systems (metrics, logging, tracing, alerting)Experience defining and operating against SLOs/SLIs, reliability and performance targets, and data-driven engineering metricsStrong bias toward automation, instrumentation, and continuous validationLeadership & CommunicationStrong coaching and mentoring skillsAbility to drive alignment and influence across teamsClear communicator across technical and business contextsNice-to-Have (Strong Bonus)Software Security / Application SecuritySoftware Supply Chain Security (SCA, SBOMs, CI/CD security)Experience in cybersecurity, IoT, or embedded systems domainsExperience in high-scale, high-reliability, or security-sensitive environmentsWhat Success Looks LikeTeams deliver consistently high-quality software with measurable improvements in reliability, defect rates, and customer satisfactionAutomated and AI-driven testing systems provide broad, continuously improving coverageQuality issues are detected early—or prevented entirely—through intelligent, data-driven systemsEngineering velocity increases without tradeoffs in quality, security, or stabilityTeams rely on systems, automation, and observability—not manual effort—to maintain excellenceEngineering output is clearly tied to customer value and business impactCompensationOur salary ranges are based on experience and geographic location:$230,000 - $332,000About Finite StateAt Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers.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.C - Customer first - Learn from customers. Ship with urgency.L - Leverage - Outsource the routine. Own the result.A