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Scale

Senior AI Product Manager, Leaderboard

Scale
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senior full-time $205,600-$257,000 USD New York, NY; San Francisco, CA

First indexed 5 Aug 2026

Description

Scale is seeking a Senior AI Product Manager to own and scale its SEAL Leaderboard portfolio. The successful candidate will define the strategy, roadmap, and operational excellence of Scale's evaluation products, benchmarks, and public/private leaderboards.

Responsibilities:

  • 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, evaluation integrity, and release management
  • 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, benchmark opportunities, and leaderboard products
  • Collaborate closely with GTM teams to support customer engagements and product launches

Requirements:

  • 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, AI model evaluation, benchmarking, or data products
  • Experience building and scaling products that require coordination across engineering, operations, and business teams
  • Excellent stakeholder management and executive communication skills
  • Strong analytical skills and the ability to translate ambiguous market and customer signals into clear product strategy
  • Experience working with AI researchers, ML teams, or evaluation frameworks is strongly preferred

Compensation and Benefits:

  • Base salary range: $205,600-$257,000 USD
  • Equity-based compensation
  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (may be eligible)
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/scaleai/jobs/4720216005