Clera
Founding Product Engineer
About this role
Join an early-stage legal AI startup as a founding product engineer to build core features that transform how attorneys work. You'll own full-stack development across the entire product, collaborate closely with AI engineers and legal experts, and shape engineering culture from the ground up.
What you'll do
- Design and implement full-stack product features from database schemas to user interfaces for legal professionals
- Collaborate with AI engineers and attorneys to translate legal workflows into production software
- Make architectural and tooling decisions balancing rapid development with long-term maintainability
- Write production-grade code and take complete ownership of shipped features
- Help establish engineering standards, culture, and hiring practices as the team grows
- Drive features to completion with focus on customer experience and reliability
What they're looking for
- Full-stack development with TypeScript and React
- Modern backend development and relational databases
- AI/LLM integration and hands-on experience
- End-to-end feature ownership and production deployment
- Pragmatic decision-making under time pressure
- DevOps, CI/CD, and production monitoring
- Strong communication and technical judgment
- Product thinking and entrepreneurial mindset
Benefits
- Equity stake at early-stage startup
- Outsized impact on product direction and engineering culture
- Mentorship from experienced founders and attorneys
- Fast-paced, high-ownership environment with minimal bureaucracy
- Legal tech domain expertise development
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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.
View all jobs at CleraLikely interview questions
- Tell us about a full-stack feature you owned end-to-end, from conception to production—what were the key technical decisions?
- Describe your hands-on experience with AI or LLMs. What did you build, and what surprised you?