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Mercor is an AI data company that organizes human intelligence to power the AI economy. The company operates a platform where millions of domain experts train frontier AI models, generating over $4 million in daily payouts. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise brings this infrastructure to Fortune 500 companies.
As Product Operations Manager for Research Services, you will drive operational excellence supporting Mercor's full-service research partnerships. This is a highly technical, internally-facing role at the intersection of Product, Engineering, Data Production, GTM, Finance, and Strategic Partnerships.
Key responsibilities include:
- Owning the intake and prioritization of new benchmarks and evaluations, weighing customer demand, capability gaps, differentiation versus public benchmarks, and build costs
- Running and sharing leaderboard evaluations to drive Mercor's research brand equity during new model releases
- Managing relationships with inference providers, compute partners, and external training vendors; forecasting capacity, negotiating SLAs and rate cards, monitoring cost per eval run, and qualifying new partners
- Maintaining the operating picture across all active evaluations, loss analysis, and post-training engagements; running delivery reviews and escalating slipping commitments
- Translating recurring delivery friction into product requirements and partnering with Engineering to automate workflows
You should have 3+ years in Product Operations, Product Management, Technical Program Management, Research Operations, Solutions Engineering, or similar technical customer-facing roles. Experience in ML research or AI infrastructure is strongly preferred. You must be fluent in modern LLM evaluation (harness design, verification, agentic rollouts, contamination and fairness considerations), have working understanding of post-training techniques and inference economics, and be comfortable with SQL and Python. You thrive in ambiguous environments, take ownership from problem definition through execution, and excel at cross-functional coordination. Strong communication skills—both technical and executive-level—are essential.
Mercor is a profitable Series C company valued at $10 billion. The role requires in-person work five days a week in San Francisco, NYC, or London offices.
