Senior AI Product Manager, Cybersecurity

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.

You will:

• 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 we train and measure against: vulnerability discovery, proof-of-concept reproduction, patch generation and regression safety, secure code review, supply-chain analysis, malware and binary analysis, detection engineering, and incident triage
• Make strategic calls on where Scale competes across the offense–defense spectrum
• Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards
• Drive the infrastructure roadmap , reproducible vulnerability images, fuzzing and build toolchains, sandboxed execution, network-segmented ranges, automated verification
• Own the responsible-development posture: containment, coordinated disclosure for live vulnerabilities surfaced during task construction, need-to-know handling of sensitive artifacts, and customer vetting
• Establish governance for data quality, contamination prevention, license and IP hygiene, reproducibility, and release management
• Recruit and steward a contributor network of working practitioners
• 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

Ideally, you'd have:

• Real cybersecurity work under your belt, rather than security-adjacent product experience
• 5+ years in product management, technical program management, consulting, or customer-facing technical roles
• A working view of the AI-for-security evaluation landscape and where it falls short
• Enough software engineering depth to read unfamiliar code, reason about runtime behavior, and hold your own with senior engineers and ML researchers
• Excellent stakeholder management and executive communication skills
• Sound judgment on dual-use questions, and genuine care about building capability measurement that helps defenders more than attackers
• Entrepreneurial mindset, bias for action, and comfort operating in fast-moving, ambiguous environments

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.