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Lead a team of engineers at Flow Engineering, focusing on building the core of an AI-native requirements platform.

Location
San Francisco
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 5 days ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Flow Engineering → Save job Scanned from flowengineering.com

Skills & Technologies

Role intensity

20% coding — mostly leadership/strategy

AI in the day-to-day

Help set direction on how AI shows up in the product, working with engineers building agentic workflows and LLM-powered features.

Requirements

Experience
8+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In this role, the senior engineering manager at Flow Engineering will lead a team focused on developing the core of an AI-native requirements platform, balancing management responsibilities with hands-on coding. The ideal candidate should have extensive experience in software development and team management, particularly in cloud environments, and be comfortable with TypeScript, Node.js, and Python. This position suits someone with a strong background in engineering, especially in regulated industries, who thrives in a fast-paced, high-ownership setting. As the first dedicated engineering manager, this individual will play a crucial role in shaping the team's processes and product direction.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Flow Engineering's careers page October 31, 2026.
  • This exact title is also open at 1 other location at Flow Engineering: London.
  • Python appears in 3.2% of 1632 comparable senior management roles; Node.js appears in 0.2% of 1632 comparable senior management roles.

Quick facts

How much experience is required?
At least 8 years of relevant experience for this Tech Lead Manager role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Node.js, PostgreSQL, Python, TypeScript.
What seniority level is this role?
Flow Engineering targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Tech Lead Manager role at Flow Engineering.

From the original posting

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.

Standard company text repeated across Flow Engineering's postings is omitted here.

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