Senior AI Product Manager, Cybersecurity

Scale AI•San Francisco, CA

3d•$205,600 - $257,000•Remote

About The Position

Scale is seeking a Senior AI Product Manager to build and own the company's Cybersecurity portfolio. This role involves defining the strategy and standards for a new product line focused on data, environments, and evaluations for training and measuring security capabilities in AI models. The position is critical for addressing the complex challenges in agentic AI security, such as vulnerability discovery, patching, and secure code analysis. The ideal candidate will have a strong background in cybersecurity and product management, with the ability to drive innovation in a fast-paced environment.

Requirements

Real cybersecurity work experience, such as vulnerability research, fuzzing and crash triage, reproducer development, exploit development, malware analysis, red teaming, detection engineering, or incident response.
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.
A working understanding of the AI-for-security evaluation landscape and its limitations.
Sufficient software engineering depth to read unfamiliar code, reason about runtime behavior, and engage with senior engineers and ML researchers.
Familiarity with model post-training and evaluation, including agentic scaffolds and container-based rollout infrastructure.
Excellent stakeholder management and executive communication skills.
Sound judgment on dual-use questions and a commitment to building measurement tools that aid defenders.
Entrepreneurial mindset, bias for action, and comfort operating in fast-moving, ambiguous environments.

Nice To Haves

Competitive CTF, published CVEs, a bug bounty record, or OSS-Fuzz contributions.

Responsibilities

Own the roadmap and strategy for Scale's Cybersecurity portfolio, including training data, RL environments, agentic task suites, and evaluation products.
Define the capability map for training and measuring AI security capabilities, such as vulnerability discovery, patch generation, secure code review, malware analysis, and incident triage.
Determine Scale's competitive strategy across the offense-defense spectrum for cybersecurity capabilities.
Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards, ensuring execution-grounded verification.
Drive the infrastructure roadmap for reproducible vulnerability images, fuzzing toolchains, sandboxed execution, and automated verification.
Own the responsible-development posture, including containment, coordinated disclosure, and customer vetting.
Establish governance for data quality, contamination prevention, license and IP hygiene, reproducibility, and release management.
Recruit and manage a contributor network of cybersecurity practitioners.
Own external partnerships with open-source benchmark collaborations, academic security groups, and enterprise data partnerships.
Work directly with customers to understand their needs and translate them into product roadmap items.
Partner with GTM on launches and thought leadership.