Mercor
Head of Operations Planning
San Francisco. Posted 4 months ago
The role
The Head of Operations Planning will build and lead a new function to centralize planning and reporting for the Human Data business. This person will design the operating model, manage demand forecasting, and develop staffing and capacity strategies.
What you will do
- Design the operating model for Operations Planning
- Set the standard for how customer demand is captured and flows into production plans and revenue forecasts
- Own the weekly cadence with account and supply teams
- Own the framework for translating forecasted demand into staffing decisions
- Build models that stress-test headcount scenarios
- Partner with Finance and account leadership on cost and margin implications
- Own the process for how new opportunities are scoped, logged, and moved to committed forecast
- Build dashboards, account playbooks, and planning tools
- Represent Operations Planning in account reviews, finance syncs, and leadership forecasting sessions
Required qualifications
- 5+ years in operations, program management, or business operations
- Direct experience in demand planning, staffing, or forecasting at a company with complex, multi-account delivery
- Experience building a team or function from scratch
- Direct experience managing people
- Strong command of spreadsheets and reporting tools
- 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
Nice to have
- Experience in AI training data, human data operations, or a comparable high-growth operations environment
Benefits
- $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
About the company
Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.