Senior AI Product Manager, Cybersecurity at Scale AI | CA, US | Rezi

Senior AI Product Manager, Cybersecurity at Scale AI

Senior AI Product Manager, Cybersecurity

Scale AI · CA, US

1 months ago

Senior AI Product Manager, Cybersecurity

Scale AI · CA, US

2 months ago
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About the Role

Scale is seeking a Senior AI Product Manager to build and lead the company's Cybersecurity portfolio, defining the strategy and standards for a new product line focused on data, environments, and evaluations for AI security capabilities.

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, covering vulnerability discovery, patch generation, secure code review, and more.
  • Determine Scale's competitive strategy across the offense-defense spectrum for AI security capabilities.
  • Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards.
  • Drive the infrastructure roadmap for cybersecurity product development, including 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 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 partners.
  • Engage with customers to understand their AI security needs and translate them into product roadmaps.
  • Partner with Go-to-Market teams on product launches and thought leadership.

Requirements

  • Experience in cybersecurity work, such as vulnerability research, fuzzing, exploit development, or incident response.
  • 5+ years in product management, technical program management, consulting, or customer-facing technical roles.
  • Understanding of the AI-for-security evaluation landscape and its limitations.
  • Sufficient software engineering depth to reason about code and runtime behavior.
  • Familiarity with AI model post-training and evaluation processes, including agentic scaffolds and container-based infrastructure.
  • Excellent stakeholder management and executive communication skills.
  • Sound judgment on dual-use questions and a commitment to building defensive AI capabilities.
  • Entrepreneurial mindset, bias for action, and comfort operating in ambiguous environments.

Skills

  • Product Management
  • AI
  • Cybersecurity
  • Roadmap Strategy
  • Stakeholder Management
  • Executive Communication
  • Vulnerability Research
  • Fuzzing
  • Exploit Development
  • Incident Response
  • Software Engineering
  • ML Research

Location

  • San Francisco
  • New York
  • Seattle

Work Type

  • Full-time

Experience Level

  • Senior

Salary/Compensations

  • $205,600—$257,000 USD

Benefits

  • Base salary
  • Equity
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

About the Company

  • Scale is the leading AI data foundry, fueling advancements in AI for 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 provide high-quality data and full-stack technologies that power leading AI models and help enterprises and governments build, deploy, and oversee AI applications.
  • We work with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies.

Equal Opportunity

  • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  • We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
  • We comply with the United States Department of Labor's Pay Transparency provision.