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Clera

Founding Engineer

San Francisco$160k–$270kfulltimemidAdded today

About this role

Join a seed-stage AI infrastructure startup as a founding engineer building a graph-native memory layer for AI agents. You'll own core infrastructure components including query engines and storage layers, working directly with the founding team to make high-impact architectural decisions.

What you'll do

  • Own and ship core infrastructure components for query execution, graph storage, and distributed systems
  • Make architectural decisions with long-term product impact alongside founding team
  • Contribute to benchmarking and research that defines the technical category
  • Participate in architecture reviews and evaluate technical trade-offs with production consequences
  • Help raise the technical ceiling as the engineering team scales
  • Work through large, ambiguous problems with ownership in an early-stage environment

What they're looking for

  • Rust or Go proficiency
  • Computer science fundamentals and first-principles problem-solving
  • Query engine design and implementation
  • Storage layer architecture and optimization
  • Distributed systems design and scaling
  • Database internals and graph systems
  • Systems-level programming
  • Technical documentation and architecture design

Benefits

  • Meaningful equity compensation
  • Learning and professional development budget
  • Flexible paid time off
  • Wellness program
  • High ownership and impact on product direction
  • Opportunity to shape technical direction at seed stage
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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 complex infrastructure component you've designed and shipped — what were the key trade-offs you made?
  • Describe your experience building or optimizing a query engine or storage layer. What performance challenges did you encounter?
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