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Clera

Founding Product Engineer

San Francisco$140k–$180kfulltimemidAdded 2 days ago

About this role

Founding product engineer role at a seed-stage AI-native legaltech startup. You'll build full-stack contract review and negotiation software alongside attorneys and AI engineers, owning core features from architecture through production while shaping engineering culture from the ground up.

What you'll do

  • Build and own full-stack features across frontend, backend, and data models for contract review workflows
  • Partner with AI engineers and attorneys to translate legal processes into production-grade software
  • Make pragmatic architecture and tooling decisions balancing speed with long-term maintainability
  • Write clean, maintainable code and take complete ownership of production deployments
  • Define engineering culture, standards, and hiring practices as the team grows
  • Collaborate with domain experts to convert legal judgment into fast-shipping, high-quality software

What they're looking for

  • TypeScript and React frontend development
  • Modern backend stack and relational databases
  • Full-stack feature ownership from conception to production
  • AI/LLM integration and implementation
  • Production software shipping and deployment
  • System design and architecture decisions
  • DevOps, CI/CD, and production monitoring (preferred)
  • Strong written and verbal communication

Benefits

  • Equity and founding-stage upside potential
  • Direct impact on product strategy and engineering culture
  • Mentorship and learning in seed-stage environment
  • Work with domain experts and cutting-edge AI technology
  • Autonomous ownership and decision-making authority
  • San Francisco-based team and community
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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 owned end-to-end—what was your process from conception to production?
  • Describe your hands-on experience with AI or LLMs. What projects have you built, and what did you learn?
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