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Clera

Founding Engineer (Full Stack)

San Francisco$100k–$180kfulltimemidAdded today

About this role

Join an early-stage, VC-backed AI/ML startup revolutionizing construction through automated blueprint analysis and cost estimation. As a founding full-stack engineer, you'll own product development end-to-end, building intuitive interfaces that integrate computer vision outputs while working closely with founders and customers in San Francisco.

What you'll do

  • Design and build responsive frontend UIs in React/TypeScript to visualize ML model outputs
  • Develop full-stack features handling geometric data and real-time streaming workflows
  • Rapidly prototype and ship MVP features, then iterate based on direct user feedback
  • Collaborate with founders and construction industry customers to shape product direction
  • Own technical decisions across the entire stack to solve complex, open-ended problems
  • Contribute to backend systems that support blueprint processing and analysis pipelines

What they're looking for

  • React and TypeScript
  • Full-stack web development
  • Python (nice to have)
  • Geometric algorithms and spatial data handling
  • Problem-solving in open-ended, math-heavy contexts
  • Real-time data visualization and streaming
  • User-centric product thinking
  • Communication and collaborative skills

Benefits

  • Equity stake in an early-stage, venture-backed company
  • Direct impact on solving a large-scale construction industry problem
  • $100,000–$180,000 annual salary (based on experience)
  • Work alongside founders in a lean, customer-obsessed team
  • Opportunity to shape product strategy and technical direction from day one
  • Fully on-site team environment in San Francisco
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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

  • Walk us through a 0-to-1 product you shipped end-to-end. What was your biggest technical challenge?
  • Tell us about a time you learned directly from user feedback and completely changed your approach—what did you learn?
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