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Clera

Founding Product Engineer

San Francisco$140k–$180kfulltimemidAdded today

About this role

Join an early-stage legal AI company as a founding product engineer, building full-stack features that transform legal workflows. You'll own the product roadmap, set engineering standards, and work closely with AI engineers and attorneys in a high-ownership, fast-moving environment.

What you'll do

  • Build and own full-stack product features from data models to user-facing interfaces for attorneys and clients
  • Partner with AI engineers and attorneys to translate legal workflows into production-grade software
  • Make pragmatic architecture decisions that balance speed with long-term sustainability
  • Write maintainable, reliable code and take complete ownership of production deployments
  • Define engineering culture, standards, and hiring practices as the team scales
  • Work directly with domain experts to turn legal judgment into shipped software

What they're looking for

  • Full-stack development with TypeScript/React and modern backend stacks
  • Relational database design and optimization
  • AI/LLM integration and prompt engineering
  • End-to-end feature ownership and production software shipping
  • DevOps, CI/CD pipelines, and production monitoring
  • System design and architectural decision-making
  • Clear communication and code quality standards
  • Product thinking and entrepreneurial mindset

Benefits

  • Founding engineer role with significant equity upside potential
  • High ownership and autonomy in a fast-moving environment
  • Opportunity to set engineering culture and standards
  • Direct collaboration with domain experts and AI engineers
  • On-site location in San Francisco with collaborative team environment
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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 full-stack feature you shipped end-to-end—what were the key technical and product decisions?
  • Describe your experience building with AI or LLMs. What surprised you or taught you the most?
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