Senior AI Product Manager, Leaderboard

Join Scale AI as a Senior AI Product Manager to lead the SEAL Leaderboard portfolio, driving product strategy and innovation in AI evaluation. Collaborate with top AI labs and enterprise customers to shape industry benchmarks. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

• •Own the roadmap and strategy for Scale’s SEAL Leaderboard portfolio.
• •Facilitate the Leaderboard Steering Committee and drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders.
• •Evaluate, prioritize, and operationalize new leaderboard proposals.
• •Define and manage the end-to-end leaderboard product lifecycle.
• •Partner with ML researchers and domain experts to develop trustworthy evaluation methodologies.
• •Drive the roadmap for leaderboard infrastructure, automation, and operational tooling.
• •Establish governance processes for benchmark quality and evaluation integrity.
• •Work directly with frontier AI labs and enterprise customers to understand evaluation needs.
• •Track adoption, usage, customer impact, and business outcomes.
• •Identify new evaluation categories and benchmark opportunities.
• •Collaborate closely with GTM teams to support customer engagements and product launches.

• •Base salary range: $205,600 — $257,000 USD.
• •Equity and benefits including health, dental, vision coverage, retirement benefits, learning and development stipend, and generous PTO.
• •Additional benefits may include a commuter stipend.

• •5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles.
• •Strong technical fluency, including familiarity with machine learning systems.
• •Experience building and scaling products that require coordination across teams.
• •Excellent stakeholder management and executive communication skills.
• •Strong analytical skills and the ability to translate market signals into product strategy.
• •Experience working with AI researchers or evaluation frameworks is preferred.
• •Entrepreneurial mindset with a track record of creating new products.
• •Passion for advancing trustworthy AI evaluation.