Senior Engineering Manager
Lead a team of engineers at Flow Engineering, focusing on building the core of an AI-native requirements platform.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
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 9 days ago on Joblaze — tracked directly from Flow Engineering's career page.
- Flow Engineering has 20 other open roles including Senior Sales Engineer, Deployment Strategist (Customer Success Manager), Deployment Strategist (Customer Success Manager).
- 6517 active Python roles on Joblaze right now.
- 1939 active TypeScript roles on Joblaze right now.
- 1357 active PostgreSQL roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 8 years of relevant experience for this Senior Engineering 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 Senior Engineering Manager role at Flow Engineering.
From the original posting
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 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.
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.