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Clera

Software Engineer

San Francisco$75k–$160kfulltimemidAdded today

About this role

Join a Y Combinator-backed conversational AI startup building an AI voice platform that automates customer call operations at scale. You'll take ownership of full-stack engineering projects—backend infrastructure handling thousands of concurrent calls, intuitive frontends, and core architectural decisions—working in-person with a small, talented team in Berlin.

What you'll do

  • Collaborate directly with customers to understand pain points and design product solutions
  • Design and build scalable backend infrastructure supporting thousands of concurrent AI phone calls daily
  • Develop intuitive, AI-first user experiences on the frontend
  • Own high-stakes projects end-to-end from concept through production and post-release support
  • Contribute to core architectural decisions that shape the platform's direction
  • Work cross-functionally to translate customer and business problems into technical solutions

What they're looking for

  • TypeScript
  • React
  • Node.js
  • Python
  • PostgreSQL
  • Scalable backend architecture design
  • Full-stack product ownership
  • Customer collaboration and problem translation

Benefits

  • Competitive salary with experience-based range
  • Early-stage equity opportunity
  • Visa sponsorship available
  • Work at a well-funded, high-growth startup
  • Small, low-ego team environment
  • High-ownership, impactful engineering 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.

View all jobs at Clera

Likely interview questions

  • Walk us through a product you built from 0 to 1—what was your role and what challenges did you face?
  • Describe your approach to designing a scalable backend system. How would you handle thousands of concurrent operations?