Talent Intelligence & Analytics Manager

AI Chopping Block; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Mercor is hiring a Talent Intelligence & Analytics Manager to lead the data-driven approach to recruiting across GTM, Applied AI, and Operations. You will map the AI talent market, benchmark compensation, and build dashboards to inform hiring strategy and leadership decisions.

As the analytics expert, you’ll partner with recruiters and leadership to turn signals into action and optimize Mercor’s recruitment funnel in a hypergrowth environment.

Qualifications

• 5+ years of experience in people analytics, talent intelligence, or recruiting analytics.
• Strong SQL and data modeling skills; comfort building dashboards in Hex, Looker, or Tableau.
• A genuine interest in the AI talent market: who's hiring, where they're finding people, how comp is trending.
• 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.
• Familiarity with Ashby or ability to quickly adopt new tools and systems.

Responsibilities

• Track the competitive AI talent landscape: where frontier labs, Mag 7 companies, and direct competitors source talent.
• Analyze Mercor's own hiring funnel: pass-through rates, time-in-stage, source yield, and quality of hire; translate into recommendations.
• 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 market questions.
• Run research projects on talent-market trends: where the best AI talent is coming from, how comp is evolving.
• Build and maintain compensation benchmarking across roles and markets, keeping Mercor's offers competitive.
• Present findings directly to recruiting and company leadership, translating data into a clear point of view.

Skills

SQL

Data modeling

Dashboards

Ashby

Tools

Hex

Looker

Tableau

Job 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 Qualities

• Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes


• Operational Rigor - ability to bring order to an unstructured environment


• Growth Mindset - You don't need to be an expert on AI, but you do need a strong desire to learn in a rapidly evolving, frontier industry


• Commitment to the Outcome - Ownership mentality; will hold yourself accountable to an extremely high standard of work


• Love for the Craft - genuine enthusiasm for building a best-in-class talent function