Senior AI Product Manager, Leaderboard

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.

We're looking for a Senior AI Product Manager to own and scale Scale's SEAL Leader board portfolio. In this role, you will define the strategy, roadmap, and operational excellence of Scale's evaluation products, benchmarks, and public/private leaderboards. You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To-Market teams to transform cutting-edge model evaluations into trusted industry benchmarks that influence model development and purchasing decisions across the AI ecosystem.

You will serve as the product owner for leader board initiatives, driving benchmark innovation, governance, infrastructure, customer adoption, and business impact. You will work directly with leading AI labs and enterprise customers, representing Scale as a thought leader in AI evaluation and measurement.

The ideal candidate combines strong product judgment, technical fluency, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable evaluation products.

• Own the roadmap and strategy for Scale's SEAL Leader board portfolio, defining priorities across benchmark development, leader board launches, infrastructure investments, and product expansion.
• Facilitate the Leader board Steering Committee and drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders.
• Evaluate, prioritize, and operationalize new leader board proposals, ensuring alignment with customer demand, market opportunities, and company strategy.
• Define and manage the end-to-end leader board product lifecycle, from ideation and benchmark design to launch, growth, maintenance, and sunset decisions.
• Partner with ML researchers and domain experts to develop trustworthy evaluation methodologies, benchmark specifications, and leader board scoring frameworks.
• Drive the roadmap for leader board infrastructure, automation, and operational tooling to improve scalability, reduce manual effort, and accelerate benchmark releases.