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Overview
Join Scale AI as a Senior AI Product Manager to lead the development of our Cybersecurity portfolio, focusing on AI systems for security capabilities. Drive strategy, build partnerships, and ensure data quality in a fast-paced environment. 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.
Responsibilities
- •Own the roadmap and strategy for Scale's Cybersecurity portfolio across training data, RL environments, agentic task suites, and evaluation products.
- •Define the capability map for vulnerability discovery, proof-of-concept reproduction, patch generation, and more.
- •Partner with ML researchers and security practitioners on task specifications and verification.
- •Drive the infrastructure roadmap and build sourcing pipelines.
- •Own the responsible-development posture and establish governance for data quality.
- •Recruit and steward a contributor network of working practitioners.
- •Own external partnerships across open-source benchmark collaborations and enterprise data partnerships.
- •Work directly with frontier labs and enterprise customers to understand security model failures.
Conditions
- •Base salary range: $205,600 — $257,000 USD.
- •Equity-based compensation, subject to Board of Director approval.
- •Comprehensive health, dental, and vision coverage.
- •Retirement benefits and a learning and development stipend.
- •Generous PTO and potential commuter stipend.
Requirements
- •Real cybersecurity work experience: vulnerability research, fuzzing, patch analysis, etc.
- •5+ years in product management, technical program management, or equivalent.
- •A working view of the AI-for-security evaluation landscape.
- •Enough software engineering depth to read unfamiliar code and reason about runtime behavior.
- •Excellent stakeholder management and executive communication skills.
- •Sound judgment on dual-use questions and a genuine care for building capability measurement.
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