Backed by Accel, Index and Y Combinator.
About the role
These roles are deeply cross-functional. You will work across AI Product Management, ML Research, Engineering, Operations, and Go-To-Market teams, and directly with frontier AI labs and enterprise customers, representing Scale as a thought leader in how models are trained and measured. Whichever portfolio you own, you will own it end-to-end: strategy, roadmap, infrastructure, governance, customer adoption, and business impact.
What they're looking for
- Own the roadmap and strategy for your portfolio, setting priorities across product development, launches, infrastructure investments, and expansion
- Drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders
- Evaluate, prioritize, and operationalize new product proposals, making sure they align with customer demand, model capability frontiers, and company strategy
- Define and manage the end-to-end product lifecycle, from ideation and design to launch, scaling, maintenance, and sunset decisions
- Partner with ML researchers and domain experts to develop trustworthy evaluation methodologies, task specifications, scoring and grader design, and quality bars
- Drive the roadmap for infrastructure, automation, and operational tooling to improve scalability, reduce manual effort, and accelerate delivery
More about this role
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.
Scale's evaluation and data products shape how the industry trains and measures frontier models. Our benchmarks and leaderboards influence model development and purchasing decisions across the AI ecosystem, and our data and environments help leading labs build what comes next.
These roles are deeply cross-functional. You will work across AI Product Management, ML Research, Engineering, Operations, and Go-To-Market teams, and directly with frontier AI labs and enterprise customers, representing Scale as a thought leader in how models are trained and measured. Whichever portfolio you own, you will own it end-to-end: strategy, roadmap, infrastructure, governance, customer adoption, and business impact.
PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on. The ideal candidate combines strong product judgment, technical fluency, operational...
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