103 open roles · Operations
Head of Operations Planning
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Where you can work
On-site
San Francisco, California, United States
View location wording from the posting
San Francisco, California, United States
Employer description
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
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. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role
Mercor is building a team to centralize planning and reporting across its rapidly growing Human Data business. This team sits at the intersection of Delivery Operations, Engagement Management, Finance, and Talent Sourcing. As the business scales, this function becomes the single system every team plans against, replacing fragmented, account-by-account approaches with one consistent standard.
The Head of Operations Planning will stand up this function from the ground up: the team, the workflows, and the tools that turn a signed deal into a fully staffed, forecasted, and tracked production plan. That means catching data quality issues as opportunities enter the pipeline, checking staffing plans against actual delivery capacity before commitments are made, and giving leadership a single source of truth on where every project stands.
What you'll own
- Build and lead the function: Design the operating model for Operations Planning — what the team owns, how it's staffed, and how it scales as new accounts and business lines come online.
- Demand and forecast accuracy: Set the standard for how customer demand gets captured, at what granularity, and how it flows into production plans and revenue forecasts. Own the weekly cadence with account and supply teams to catch drift early.
- Staffing and capacity strategy: Own the framework for translating forecasted demand into staffing decisions across accounts. Build models that stress-test headcount scenarios and flag risk before it hits a client conversation. Partner with Finance and account leadership on cost and margin implications.
- Opportunity pipeline integrity: Own the process that governs how new opportunities get scoped, logged, and moved from signal to committed forecast. Set the bar for consistency across accounts so leadership can trust the number without checking the math.
- Systems and reporting infrastructure: Decide what gets tracked, how, and where. Build the dashboards, account playbooks, and planning tools that make account status visible without a meeting.
- Cross-functional operating rhythm: Represent Operations Planning in account reviews, finance syncs, and leadership forecasting sessions.
What we're looking for
- 5+ years in operations, program management, or business operations, with direct experience in demand planning, staffing, or forecasting at a company with complex, multi-account delivery
- Experience building a team or function from scratch, not just operating within one someone else designed
- Direct experience managing people
- Strong command of spreadsheets and reporting tools; comfort building the system rather than waiting for someone to build it for you
- A track record of standardizing messy, inconsistent processes into something repeatable and auditable
- Comfortable being the source of truth in a room full of people who disagree about the numbers
- Experience in AI training data, human data operations, or a comparable high-growth operations environment is a plus, not a requirement
Compensation
- Base cash comp from $200K-$250k
- Equity starting at $1.5m / 4 years
- $10K proximity bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
- 401(k) with company match
- Up to $15k Relocation bonus
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