Backed by Accel, Index and Y Combinator.
About the role
We're looking for a Senior AI Product Manager to build and own Scale's Cybersecurity portfolio — the data, environments, and evaluations frontier labs use to train and measure security capability in their models. This is a build role: you will define the strategy and standards for a product line that does not exist yet.
What they're looking for
- Make the strategic call on where Scale competes across the offense–defense spectrum — which capabilities we build training data for, which we only measure, and which we decline
- Establish governance for data quality, contamination prevention, license and IP hygiene, reproducibility, and release management
- Own external partnerships across open-source benchmark collaborations, academic security groups, and enterprise data partnerships
- Work directly with frontier labs and enterprise customers to understand where their models fail on security work, translate that into roadmap, and partner with GTM on launches and thought leadership
- 5+ years in product management, technical program management, consulting, or customer-facing technical roles — or equivalent depth as a practitioner with a clear pull toward product ownership
- Enough software engineering depth to read unfamiliar code, reason about runtime behavior, and hold your own with senior engineers and ML researchers
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
We're looking for a Senior AI Product Manager to build and own Scale's Cybersecurity portfolio — the data, environments, and evaluations frontier labs use to train and measure security capability in their models. This is a build role: you will define the strategy and standards for a product line that does not exist yet.
Security is where the hardest problems in agentic AI now sit. An agent that can find a vulnerability, prove it reproduces, and patch it without breaking the system is doing work that takes a skilled human days. Measuring that honestly requires reproducible execution environments at scale and practitioners who have actually done the work. Scale has the first, proven across SWE-Bench Pro, SWE Atlas, and our contributions to the Terminal-Bench lineage. You will build the second.
- Own the roadmap and strategy for Scale's Cybersecurity portfolio across training data, RL environments,...
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