Talent Intelligence & Analytics Manager

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.