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Clera

Founding Engineer

San Francisco$160k–$270kfulltimemidAdded 2 days ago

About this role

Join an early-stage, graph-native database company as a Founding Engineer to build memory and context infrastructure for AI agents. You'll own critical infrastructure components including query engines, storage layers, and distributed systems while making architectural decisions that shape the product long-term.

What you'll do

  • Design and ship core infrastructure: query execution engine, graph storage layer, and distributed systems components
  • Lead architecture decisions with significant product impact alongside the founding team
  • Contribute to benchmarking and research efforts that guide technical direction
  • Participate in architecture reviews and resolve complex technical trade-offs with production implications
  • Mentor and help scale the engineering team as it grows
  • Own large, ambiguous problems from conception through deployment

What they're looking for

  • Rust or Go proficiency
  • Query engine design and implementation
  • Storage layer architecture
  • Distributed systems design and scaling
  • Graph database internals
  • Computer science fundamentals and first-principles thinking
  • Database infrastructure experience
  • Systems-level programming

Benefits

  • Meaningful equity ownership in early-stage company
  • Direct influence on product roadmap and engineering culture
  • Significant technical ownership and autonomy
  • Small, fast-moving team environment
  • On-site location in San Francisco with collaborative founding team
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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

  • Describe a core infrastructure component you've shipped in production—what were the key architectural decisions and trade-offs?
  • Walk us through how you'd approach designing a query execution engine for a graph database from first principles.
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