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Clera

Founding Engineer

San Francisco$200k–$300kfulltimemidAdded 1 month ago

About this role

Join an early-stage San Francisco startup as a Founding Engineer to build full-stack features from the ground up, shape technical architecture, and influence product roadmap decisions alongside the founders in a high-impact, high-trust environment.

What you'll do

  • Build and ship full-stack features in a 0-to-1 product environment
  • Own product decisions and contribute to roadmap prioritization with founders
  • Establish engineering standards, architecture, and development practices
  • Collaborate cross-functionally in a small, flat team structure
  • Iterate rapidly based on user feedback and business requirements

What they're looking for

  • Full-stack software development (3-7 years)
  • Product sense and decision-making ownership
  • Architecture and system design
  • Ability to work in ambiguous, fast-paced environments
  • Cross-functional collaboration
  • Rapid iteration and shipping mindset
  • FAANG or early-stage startup experience (nice to have)
  • 0-to-1 product shipping experience (nice to have)

Benefits

  • Salary: $200,000–$300,000 USD annually
  • Equity participation as a founding team member
  • Direct influence on product and technical direction
  • High autonomy and decision-making authority
  • Work with minimal hierarchy in a small, high-trust team
  • Additional benefits commensurate with founding role
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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

  • Tell us about a time you shipped a full-stack feature end-to-end. What was your process, and what trade-offs did you make?
  • Describe your experience in a 0-to-1 environment. How did you approach technical decisions when requirements were ambiguous or constantly changing?
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