# Talent Intelligence & Analytics Manager

**Company:** [Mercor](https://hotfix.jobs/companies/mercor)
**Location:** San Francisco, CA
**Role:** People Ops
**Salary:** $140k – $180k/yr
**Experience:** 5+ years
**Skills:** SQL, Data Modeling, Hex, Looker, Tableau, Ashby, people analytics, talent intelligence, recruiting analytics, compensation benchmarking
**Posted:** 2026-08-05

> The Talent Intelligence & Analytics Manager analyzes AI talent markets, recruiting-funnel performance, and compensation trends to guide hiring strategy. The role requires 5+ years in people or recruiting analytics, strong SQL and data-modeling skills, dashboard development experience, and confident communication with recruiting and executive leadership.

## Job Description

## Responsibilities
- Track the competitive AI talent landscape, including sourcing strategies, team structures, and offer positioning.
- Analyze hiring-funnel metrics such as pass-through rates, time in stage, source yield, and quality of hire.
- Build dashboards and reporting for real-time visibility into pipeline health and hiring capacity.
- Serve as the analytics expert for Talent Acquisition and inform recruiting-funnel decisions.
- Partner with business leaders and recruiters across GTM, Applied AI, and Operations on market and pipeline questions.
- Conduct research on talent-market trends, AI talent sources, compensation structures, and competitor hiring practices.
- Build and maintain compensation benchmarks across roles and markets.
- Present findings to recruiting and company leadership, translating data into recommendations.

## Requirements
- 5+ years of experience in people analytics, talent intelligence, or recruiting analytics, ideally at a high-growth technology or AI company.
- Strong SQL and data-modeling skills.
- Experience building dashboards with tools such as Hex, Looker, or Tableau.
- Genuine interest in the AI talent market and compensation trends.
- Ability to turn messy data into clear narratives and recommendations.
- Strong communication skills and confidence presenting data-backed perspectives to recruiters and leadership.
- High-motor, outcome-oriented approach in a hypergrowth environment.
- Familiarity with Ashby or ability to quickly adopt new tools and systems.

## Nice to Haves
- Strategy, market research, or competitive-intelligence experience before moving into talent or people analytics.
- Interest in the human data and AGI space.
- Experience building compensation-benchmarking models or market-pay studies.
- Experience supporting multiple recruiting functions, including GTM, Applied AI, and Operations.

## Ideal Qualities
- **Agility and adaptability:** Ability to move quickly, adjust to business shifts, and maintain high-quality outcomes.
- **Operational rigor:** Ability to bring order to an unstructured environment.
- **Growth mindset:** Strong desire to learn in a rapidly evolving, frontier industry.
- **Commitment to the outcome:** Ownership mentality and accountability for a high standard of work.
- **Love for the craft:** Genuine enthusiasm for building a best-in-class talent function.

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