Full Stack Software Engineer, Jobs Platform · OpenAI

Fri, 24 Apr 2026 12:18:18 GMT
Engineering

OpenAI · San Francisco · $293K – $490K · onsite

We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives.

Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities , leading to a network where worker and employer agents match on real capabilities, not job boards.

In this role, you will:

Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform

Design and ship core systems for matching, candidate verification, skills representation, and workflow automation

Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities

Build high-trust, scalable systems that support millions of job seekers and employers

Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes

Work closely with product, design, research, and ops to create human-centered experiences powered by AI

Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility

You may be a good fit if you have:

5+ years of software engineering experience building highly-available user-facing products

Experience working across the stack (frontend + backend) and comfort owning features end-to-end

Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before

Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required)

Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most