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Clera

Founding Product Engineer

San Francisco$140k–$180kfulltimemidAdded today

About this role

Join an early-stage legaltech startup as a founding engineer to build AI-powered contract review and negotiation software. You'll own core product features across the full stack, working directly with attorneys and AI engineers to translate complex legal workflows into production-grade systems while shaping engineering culture from the ground up.

What you'll do

  • Build and own full-stack product features from data models to user interfaces for attorneys and clients
  • Partner with AI engineers and legal experts to convert workflows and review processes into reliable software
  • Make architecture and tooling decisions balancing speed with long-term maintainability
  • Write production-quality code and take complete ownership of shipped features
  • Define engineering standards, culture, and hiring practices as the team grows
  • Drive features to completion with customer-first urgency and quality focus

What they're looking for

  • Full-stack development (TypeScript, React, modern backend frameworks)
  • Relational database design and optimization
  • AI/LLM integration and prompt engineering
  • End-to-end feature ownership and deployment
  • Production monitoring and DevOps practices
  • Pragmatic decision-making under time pressure
  • Cross-functional collaboration with non-technical domain experts
  • Product thinking and entrepreneurial mindset

Benefits

  • Founding team equity package
  • Competitive base salary
  • Full-time, on-site role in San Francisco
  • Ground-floor opportunity to shape engineering culture
  • Direct collaboration with attorneys and AI specialists
  • Autonomy and ownership over core product
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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 full-stack feature you built end-to-end—what was your architecture and how did you handle deployment?
  • Describe your hands-on experience with AI or LLMs—how did you integrate it into a production system?
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