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Closed on September 19, 2026.
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Product Operations Manager, Research Services
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Model Evaluation
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Job Description
Mercor is hiring a Product Operations Manager, Research Services to lead end-to-end operations for research partnerships and evaluation platform workflows.
Responsibilities
- Own intake and prioritization for new benchmarks and evaluations supported in the platform
- Use customer demand, observed capability gaps, differentiation versus public benchmarks, and build cost to set priorities
- Run and share leaderboard evals to support Mercor’s research brand equity during new model releases
- Manage relationships with inference providers, compute partners, and external training vendors
- Forecast capacity against the delivery calendar
- Negotiate, track, and maintain SLAs and rate cards
- Monitor cost per eval run and cost per rollout
- Qualify new partners ahead of future demand needs
- Maintain an operating picture across active evals, loss analysis, and post-training engagements
- Surface scope, milestones, dependencies, and SLA status for delivery visibility
- Run delivery reviews and escalate commitments that are slipping before customers notice
- Convert recurring delivery friction into product requirements for the eval platform
- Partner with Engineering to automate workflows that would otherwise be handled manually
Requirements
- 3+ years in Product Operations, Product Management, Technical Program Management, Research Operations, Solutions Engineering, or a similar technical, customer-facing role
- Experience operating in an ML research or AI infrastructure environment (strongly preferred)
- Fluency in modern LLM evaluation, including harness design, verification, agentic rollouts, and contamination and fairness pitfalls
- Working understanding of post-training (SFT, preference ranking, RL) and inference economics
- Familiarity with coding agents; comfortable coding in SQL and Python without agent assistance
- Ability to plan capacity against an uncertain demand curve
- Ability to hold partners to SLAs and weigh cost against reliability without escalating every call
- Comfort with ambiguity and ownership from problem definition through execution, including accountability for dates
- Strong technical communication: lead technical conversations with AI researchers and write status updates an executive can act on
- Strong written and verbal communication
- Project management and cross-functional coordination skills
- Motivation to fix issues at the source and build repeatable systems instead of one-off solutions
Technologies
- SQL
- Python
- SFT
- RL
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of the office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Location: San Francisco, CA (onsite)
Salary: USD 140,000 - 210,000 per year
Experience: 3+ years