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