Senior Engineering Manager

San Franciscofull time

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senior

$260k–$310k

H1B: no

Flow Engineering Senior Engineering Manager at Flow Engineering leads and grows an engineering team building the core platform while remaining hands-on with coding. The role includes product execution, customer interaction, and setting AI feature direction.

Responsibilities

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.
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.

Qualification

8+ years developing production software2+ years managing engineersStill hands on with codingComfortable working in a high-ownershipBackground in aerospaceExperience with requirementsTypeScript/Node

Required

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.

Preferred

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.
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.

Company

Flow Engineering

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Source: ashby

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