Talent Intelligence & Analytics Manager
Mercor
| Company | Mercor |
| Category | Data & Analytics |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | USD 140k–180k |
| Posted | 5 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (ashby) |
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
As a Talent Intelligence & Analytics Manager at Mercor, you'll be the person who knows the AI talent market better than anyone else on the team: where competitors are finding talent, how compensation is trending, and what it actually takes to win a candidate in this market. You'll build the data and research layer underneath all of Mercor's recruiting - GTM, Applied AI, Operations, and beyond - turning market signal and funnel data into decisions our recruiters and leadership can act on.
WHAT YOU'LL DO
- Track the competitive AI talent landscape: where frontier labs, Mag 7 companies, and direct competitors are sourcing talent, how their teams are structured, and how they're positioning offers
- Analyze Mercor's own hiring funnel: pass-through rates, time-in-stage, source yield, and quality of hire, and turn that into recommendations recruiters and leadership can act on
- Build dashboards and reporting that give recruiting leadership a real-time read on pipeline health and hiring capacity
- Act as the analytics expert for Talent Acquisition, informing strategic decision making across the recruiting funnel
- Partner with business leadership as well as recruiters across GTM, Applied AI, and Operations to answer their specific market and pipeline questions
- Run research projects on talent-market trends: where the best AI talent is coming from, how compensation structures are evolving, and what's changing in how competitors hire
- Build and maintain compensation benchmarking across roles and markets, keeping Mercor's offers competitive as the AI talent market shifts
- Present findings directly to recruiting and company leadership, translating data into a clear point of view
WHAT WE'RE LOOKING FOR
- 5+ years of experience in people analytics, talent intelligence, or recruiting analytics, ideally at a high-growth tech or AI company
- Strong SQL and data modeling skills; comfort building dashboards in tools like Hex, Looker, or Tableau
- A genuine interest in the AI talent market: who's hiring, where they're finding people, how comp is trending, and what that means for Mercor's competitiveness
- Ability to turn messy data into a clear narrative and a clear recommendation, not just a report
- Strong communication skills; able to present data-backed points of view to recruiters and leadership with confidence
- High motor, outcome-oriented approach; Mercor is in hypergrowth, and this role's insights directly shape hiring decisions across the company
- Familiarity with Ashby or ability to quickly adopt new tools and systems
NICE TO HAVES
- Experience in a strategy, market research, or competitive intelligence role prior to moving into talent/people analytics
- Interest in the human data / AGI space
- Experience building compensation benchmarking models or market-pay studies
- Comfort supporting multiple recruiting functions (GTM, Applied AI, Operations) at once
IDEAL QUALITI