Note: The job is a remote job and is open to candidates in USA. Finite State is a fast-growing series-B company focused on securing the connected world through their innovative platform. They are seeking a Sr. Engineering Manager to lead teams in building AI-native engineering practices and delivering high-quality software while ensuring customer satisfaction and product impact.
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
Skills
- 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
- 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
Company Overview
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