Senior Engineering Manager

Flow EngineeringSan Francisco, CA
$260,000 - $310,000

About The Position

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. Flow is seeking a senior engineering 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 report to our head of engineering and work closely with product, design, and our forward deployed engineers.

Requirements

  • 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 Haves

  • 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.

Responsibilities

  • 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.
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