Senior AI Product Manager (Leaderboard)

• We’re looking for a Senior AI Product Manager to own and scale Scale’s SEAL Leaderboard 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 leaderboard 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
• Own the roadmap and strategy for Scale’s SEAL Leaderboard portfolio, defining priorities across benchmark development, leaderboard launches, infrastructure investments, and product expansion
• Facilitate the Leaderboard Steering Committee and drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders
• Evaluate, prioritize, and operationalize new leaderboard proposals, ensuring alignment with customer demand, market opportunities, and company strategy
• Define and manage the end-to-end leaderboard 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 leaderboard scoring frameworks
• Drive the roadmap for leaderboard infrastructure, automation, and operational tooling to improve scalability, reduce manual effort, and accelerate benchmark releases
• Establish governance processes for benchmark quality, evaluation integrity, release management, auditability, and update cadence
• Work directly with frontier AI labs and enterprise customers to understand evaluation needs, gather feedback, and influence future leaderboard investments
• Track adoption, usage, customer impact, and business outcomes, using data-driven insights to guide roadmap decisions and resource allocation
• Identify new evaluation categories, benchmark opportunities, and leaderboard products that strengthen Scale’s industry leadership and create new revenue opportunities
• Collaborate closely with GTM teams to support customer engagements, thought leadership initiatives, product launches, and strategic partnerships

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- 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
• Strong technical fluency, including familiarity with machine learning systems, AI model evaluation, benchmarking, or data products
• Bias for action and comfort operating in fast-moving, ambiguous environments
• Experience building and scaling products that require coordination across engineering, operations, and business teams
• 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles
• 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
• Passion for advancing trustworthy AI …