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Clera

Founding Engineer

San Francisco$200k–$300kfulltimemidAdded today

About this role

Join an early-stage startup as a Founding Engineer in San Francisco, where you'll architect and build core product features across the full stack with significant autonomy and influence over the company's direction. This is a 0-to-1 opportunity to shape foundational technology decisions alongside founders in a small, high-ownership team.

What you'll do

  • Build and own end-to-end product features from concept through production deployment
  • Make foundational architecture and technical decisions that scale with company growth
  • Contribute directly to product strategy and direction working with founders
  • Develop both frontend and backend components across the full stack
  • Move quickly in early-stage environment, iterating and shipping with high autonomy
  • Establish engineering standards and best practices for early team

What they're looking for

  • Full-stack software development (3–7 years experience)
  • Frontend development
  • Backend development
  • System architecture and scalable design
  • Product sense and strategy influence
  • Computer science fundamentals
  • Startup/0-to-1 product building
  • Autonomous project ownership

Benefits

  • Significant equity upside as founding team member
  • High autonomy and direct impact on product direction
  • Work closely with founders in early-stage environment
  • Opportunity to shape engineering culture and standards
  • On-site in San Francisco with collaborative team
  • Competitive salary and early-stage startup opportunity
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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

  • Describe a time you owned a feature end-to-end at a startup—what were the key decisions you made and why?
  • How do you balance moving fast with making good architectural decisions that need to scale?
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