Tech Lead Manager

Job description

**About Flow** Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. **About the role** Flow is seeking a tech lead manager to lead a team building the core of our platform. This is our first dedicated engineering management hire, and you will own delivery for a team of engineers while staying hands on with coding. You will work closely with product, design, and our forward deployed engineers. **What you'll do** - Manage and grow a team of engineers, owning onboarding, feedback, and career development. - Own product execution end to end, from scoping with customers through ship, measure, and iterate. - Stay technical. Review code, make architecture calls, and pick up meaningful work when a project needs it. - Help establish engineering best practices - Work directly with customers. Our users are systems and requirements engineers at hardware companies with a high bar - Partner with recruiting to build the team - Help set direction on how AI shows up in the product, working with engineers building agentic workflows and LLM-powered features. **About you** - 8+ years developing production software, including designing, testing, and operating services at scale in a cloud environment. - 2+ years managing engineers, ideally at an early-stage company or somewhere with little existing process scaffolding. - Track record shipping software that enterprise customers depend on, with a clear understanding of what that changes about how you build. - Still hands on with coding - Direct communicator who is able to give difficult feedback - Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm. **Nice to have** - Background in aerospace, defense, automotive, or another regulated hardware domain. - Experience with requirements, ALM, PLM, or systems engineering tooling. - Experience managing teams building LLM-powered or agentic features in production. **Our stack** - TypeScript/Node.js and Python for backend and AI services. - Modern LLM APIs and orchestration libraries for building agentic workflows. - Postgres and other managed cloud services for data and state.