Sr. Engineering Manager

Finite State

7h•Remote

About The Position

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. We 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.

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
Experience partnering with Product Management to deliver customer-focused solutions
Languages: TypeScript, JavaScript, Python
Frontend: Next.js, React
Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate
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 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 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

Nice To Haves

Software Security / Application Security
Software Supply Chain Security (SCA, SBOMs, CI/CD security)
Experience in cybersecurity, IoT, or embedded systems domains
Experience in high-scale, high-reliability, or security-sensitive environments

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
Establish clear expectations where quality is owned by the team and enforced through systems, not heroics
Foster a culture of accountability, continuous improvement, and engineering excellence
Ensure engineering decisions are grounded in customer outcomes and product impact
Partner closely with Product Management to translate customer needs into scalable, high-quality systems
Define and track metrics connecting engineering output to customer satisfaction, product adoption, and business outcomes
Balance speed, quality, and innovation in service of real-world user value
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
Leverage LLMs and agent-based systems to continuously expand test coverage, identify edge cases, and reduce manual QA effort while increasing confidence
Ensure quality is continuously validated in CI/CD, not deferred to later stages
Design and enforce engineering processes where quality gates are automated and non-bypassable
Implement AI-powered tooling across the SDLC: code generation and review assistants, automated code quality and security analysis, and intelligent CI/CD pipelines with adaptive testing
Establish comprehensive observability including logging, metrics, tracing, alerting, and SLOs/SLIs aligned with customer expectations
Use production data to detect issues early, predict and prevent failures, and drive continuous evidence-based improvement
Track and improve key engineering metrics: test coverage, mutation testing scores, defect rates, production incident frequency, and service reliability
Define and implement AI-first development workflows across your teams
Evaluate and integrate modern AI tooling (copilots, LLMs, agent-based systems)
Ensure AI adoption increases both velocity and quality
Stay current with emerging AI capabilities and translate them into practical engineering improvements
Contribute to and execute the technical roadmap in alignment with business objectives
Balance innovation (AI-first approaches) with long-term maintainability
Manage technical debt strategically to ensure sustainable velocity and system health
Guide architectural decisions that enable scale, reliability, and agility