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Clera

Founding Product Engineer

San Francisco$120k–$180kfulltimemidAdded today

About this role

Join this seed-stage AI/construction-tech startup as a founding product engineer to build computer vision tools that automate blueprint analysis and cost estimation. You'll own features end-to-end, working across React, Python, and infrastructure while directly shaping product direction on a small, high-impact team.

What you'll do

  • Own features fully from customer interviews to shipping, working end-to-end
  • Build intuitive UIs translating complex blueprint data for users transitioning from paper workflows
  • Contribute across the stack: React frontend, Python backend, and infrastructure
  • Architect and build 0-to-1 features from concept to production
  • Translate customer domain knowledge into clear product decisions and influence direction
  • Handle operational tasks that support early-stage startup growth

What they're looking for

  • React frontend development
  • Python backend and infrastructure
  • Full-stack software architecture and design
  • Customer discovery and user research
  • Product sense and design sensibility
  • 0-to-1 product building
  • Communication and collaboration
  • Construction domain knowledge (bonus)

Benefits

  • Equity at seed-stage company
  • Direct influence over product direction
  • Small, high-impact team environment
  • On-site work in San Francisco
  • Relocation support welcomed
  • Hands-on ownership of meaningful features
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Tell us about a feature you shipped end-to-end from customer discovery to production—what was your process?
  • How do you approach understanding complex domain problems when building software for non-technical users?
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