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Clera

Founding Engineer (Europe to San Francisco)

San FranciscofulltimemidAdded today

About this role

Join an early-stage AI infrastructure startup as a founding engineer to build platform tooling for AI-native service businesses. You'll own the full product lifecycle from conception to production, working directly with users and making key architectural decisions with minimal legacy constraints.

What you'll do

  • Design and build core infrastructure for agentic AI workforce platforms end-to-end
  • Conduct user research, define product outcomes, and ship features independently
  • Make architectural and product decisions as an early technical leader
  • Deploy to production rapidly and iterate based on user feedback
  • Debug and resolve production issues
  • Leverage AI coding tools to accelerate development velocity

What they're looking for

  • Full-stack product engineering
  • AI infrastructure and agentic systems
  • Production debugging and incident response
  • Architectural decision-making
  • AI coding tools and workflows
  • Startup execution and rapid iteration
  • Direct user engagement and feedback loops
  • End-to-end product ownership

Benefits

  • Meaningful early-stage equity
  • Competitive salary with adjustment to San Francisco market rates upon relocation
  • Full visa sponsorship and relocation cost coverage
  • Day-one production impact with no legacy codebase
  • Direct influence on platform architecture and strategy
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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 Clera

Likely interview questions

  • Walk us through a recent product you shipped end-to-end—what was your role from conception to production launch?
  • Tell us about a time you debugged and fixed a critical production issue. How did you approach it?