Product Engineer, Talent Experience
Mercor · San Francisco, CA · Today
On-siteEngineering$130k–$500k/yrFull-time
About the role
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
What You'll Do
- Design, build, and ship high-quality full-stack product features across multiple product areas.
- Build polished, intuitive user interfaces using modern frontend frameworks, with strong attention to UX detail.
- Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
- Move between product areas as priorities evolve, ramping quickly on unfamiliar codebases and domains.
- Collaborate closely with Product, Design, AI, and Backend Engineering to deliver customer-facing experiences.
- Build reusable components and contribute to shared frontend patterns and design systems.
- Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
- Solve real customer problems and continuously improve expert and customer experience.
What We're Looking For
- 2–5+ years of professional software engineering experience building production web applications.
- Strong proficiency in modern frontend development (e.g. React, TypeScript) with genuine care for UI polish and user experience.
- Solid full-stack capability—comfortable building and consuming backend APIs and working with production databases.
- Track record of shipping across multiple product areas or codebases; you ramp fast and thrive on variety.
- Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
- Strong software engineering fundamentals, including testing, debugging, and performance optimization.
- Excellent product intuition—you enjoy building products that people actually use.
- Comfortable working in fast-moving environments with evolving priorities.
- High ownership, curiosity, and a bias toward shipping.
Why this role matters
- Impact: Ship customer-facing products across Mercor's entire portfolio and directly shape the future of the AI workforce.
- Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and influence product direction from day one.
- Learning: Unusual breadth—work across products, teams, and domains alongside world-class engineers and AI researchers.
- Growth: Rapid career progression with opportunities to expand ownership as the product portfolio and engineering organization scale.