We're hiring a Full-Stack Team Lead for our product engineering group. Two things make this a good time to join:
First, we have a lot of new product to build. You'll work on interfaces over 360 walkthroughs, drone imagery, 2D plans, 3D models, and large data grids. Theres plenty of greenfield work on our roadmap alongside an established product.
Second, we're actively reshaping our engineering workflow around AI coding tools. We want this role to help lead that - not just adopt the tools, but shape how the team uses them, what we build with them, and what good looks like a year or two from now.
You'll lead a small full-stack team, own features end-to-end, and stay hands-on. You'll work closely with Product, Design, and other engineering teams. We're open to different backgrounds: a frontend lead growing into backend, a balanced full-stack engineer, or a backend lead with solid frontend skills. What matters is that you can lead, learn, and get things done.
What You'll Do:
Lead and grow a small full-stack team.
Code across the stack: React and TypeScript on the frontend, Python, Django, and Postgres on the backend.
Own features end-to-end - UI, API, data models, background work.
Build interfaces over complex data: 360 walkthroughs, drone imagery, floor plans, 3D BIM models, large data grids.
Help shape how the engineering org uses AI coding agents day-to-day.
Work closely with Product, Design, and other engineering teams.
Hire, onboard, and grow your team.
Requirements: + years in software engineering, with strong hands-on React and TypeScript.
Some backend experience, or a clear track record of picking up new areas fast.
Experience leading a team or owning significant projects. Senior engineers with informal leadership experience ready for a first formal management role are welcome.
Working fluency with AI coding agents in your day-to-day work - sustained, hands-on use of tools like Claude Code, Cursor, or Codex over recent months. We're looking for someone who tinkers with these tools at work and outside of it, tries new things often, and forms real opinions about what works.
Strong technical judgment, clear communication, collaborative by default.
Nice to Have:
Production experience with Python, Django, or similar backends.
AWS and Postgres at non-trivial scale.
Experience building on top of AI tooling - custom commands, MCP servers, agent workflows, internal LLM tooling.
Previous startup experience.
This position is open to all candidates.