Lead the build-out of centralized Operations Planning for Mercor's Human Data business. Own demand forecasting, staffing models, pipeline integrity, and cross-functional reporting to provide leadership with a single source of truth on production plans and revenue.
200k – 250k
On-site5+ YOEBusiness Operations
About the role
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.
Requirements
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
Nice-to-haves
Experience in AI training data, human data operations, or a comparable high-growth operations environment is a plus, not a requirement
Compensation and benefits
Base cash comp from $200K-$250k
Aggressive bi-annual performance bonus structure
Equity starting at $1.5m / 4 years
$10K proximity bonus (if you live within 0.5 miles of our office)
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