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Full-Stack Product Engineer

Job in San Francisco, San Francisco County, California, 94102, USA
Listing for: Transluce
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Full-Stack Product Engineer

Transluce is a fast-paced AI start-up building the public tech stack for understanding and debugging AI systems. We build world-class, AI-backed analysis tools and use these to set industry standards for evaluation. We are a non-profit with a mission to steer the development of AI for the public good.

About the role:

We're looking for an exceptional product engineer to lead the design and development of our flagship products. You will have a central seat at the table and work directly with leading experts in AI to shape the future of human-in-the-loop model understanding. As a mission-focused non-profit, you'll also contribute to software with high direct impact (used by governments to inform AI policy) and cross-organizational reach (our stakeholders lie across frontier labs, academia, and startups).

Core responsibilities:

  • Design and build intuitive frontend interfaces for model understanding, such as:
    • Docent, for analyzing long agent transcripts
    • Monitor, for understanding internal model activations
  • Implement scalable backend systems to power those interfaces
  • Create APIs, SDKs, and protocols that interface between our products and external libraries
  • Engage continuously with customers to gather requirements and feedback
  • Maintain open source repositories and actively engage with the developer community

Qualities of a strong candidate:

  • Excels in rapid cycles of design, implementation, testing, and iteration
  • Has strong design taste and a sharp attention to detail
  • Writes well-designed code that enables team-wide collaboration
  • Is proficient with our current stack:
    Python, Typescript, Next.js, AWS, serverless container runtimes
  • Has experience engaging with customers and stakeholders
  • Bonus: practical experience with language models (e.g., building apps on top of LLM APIs) and familiarity with fundamental ML concepts (e.g., ability to critically assess claims about model performance)
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