Jobs · Engineering · California

Product Engineer ($125k-$200k + Equity) at well-funded AI safety startup

Jack & Jill · San Francisco, CA · 2 mo ago
On-siteEngineering$125k–$200k/yrFull-time

Jill, our AI Recruiter, is filling this role on behalf of a well-funded AI safety startup. She will select top candidates from Jack’s network for next steps.

About the role

You will develop full-stack testing platforms and evaluation infrastructure used to align and improve next-generation AI models. By engineering complex software interactions and data systems that mimic real-world business environments, you enable AI researchers to train models on high-fidelity data. This role bridges product engineering and AI safety within a high-velocity team.

Why this role is remarkable

  • Contribute to the critical mission of AI safety and human-aligned AGI by building evaluation infrastructure used by leading foundation model labs.
  • Join a well-funded Series B startup backed by top-tier VCs, offering meaningful equity and the chance to work at the frontier of AI research.
  • Work directly with a founding team of industry veterans from major technology companies in a high-velocity, in-office culture in San Francisco.

Responsibilities

  • Develop end-to-end evaluation platforms, including frontend tools, backend services, and APIs that simulate complex real-world software interactions.
  • Partner with research teams to design sophisticated data models and software workflows for testing model performance in business contexts.
  • Implement modern development practices and AI-assisted coding tools to rapidly build and deploy infrastructure that ensures AI reliability and alignment.

Requirements

  • 3+ years of experience building complex, full-stack products from initial ambiguity to production, ideally within a high-growth startup environment.
  • Deep technical proficiency in React, TypeScript, and Python, with a strong intuition for how enterprise software behaves in production.
  • Proactive, owner-mindset with the ability to navigate complex requirements and build robust tools for evaluating AI performance.

Pay

$125k–$200k + equity

Location

San Francisco, USA

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