Scale AI8 дней назад

Senior AI Product Manager, Cybersecurity

Зарплата не указана
РЫНОК
65 900медиана по профессии
AI Researcher · 12 вакансий с указанной зарплатой
13 833половина предложений: 24 084–65 900143 300
Работодатель не указал зарплату — сравните с рынком сами.
New York

Обязанности

  • 01Own the roadmap and strategy for Scale's Cybersecurity portfolio across training data, RL environments, agentic task suites, and evaluation products
  • 02Stand the product line up end to end, from task taxonomy and sourcing through pricing and first external release
  • 03Define 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
  • 04Make the strategic call on where Scale competes across the offense–defense spectrum
  • 05Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards
  • 06Drive the infrastructure roadmap — reproducible vulnerability images, fuzzing and build toolchains, sandboxed execution, network-segmented ranges, automated verification
  • 07Build sourcing pipelines that scale past hand-curation
  • 08Own the responsible-development posture: containment, coordinated disclosure for live vulnerabilities, need-to-know handling of sensitive artifacts, and customer vetting
  • 09Establish governance for data quality, contamination prevention, license and IP hygiene, reproducibility, and release management
  • 10Recruit and steward a contributor network of working practitioners — vulnerability researchers, exploit developers, malware analysts, detection engineers, incident responders
  • 11Design quality controls for reviewer validation
  • 12Own external partnerships across open-source benchmark collaborations, academic security groups, and enterprise data partnerships
  • 13Work directly with frontier labs and enterprise customers to understand model failures and translate that into roadmap
  • 14Partner with GTM on launches and thought leadership

Требования

  • 01Real cybersecurity work under your belt: vulnerability research, fuzzing and crash triage, reproducer development, patch and root-cause analysis, exploit development, malware analysis, red teaming, detection engineering, or incident response
  • 025+ 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
  • 03A working view of the AI-for-security evaluation landscape and where it falls short: CyberGym, Cybench, CVE-Bench, BountyBench, CyberSecEval
  • 04Enough software engineering depth to read unfamiliar code, reason about runtime behavior, and hold your own with senior engineers and ML researchers
  • 05Familiarity with how models are post-trained and evaluated, including agentic scaffolds and container-based rollout infrastructure
  • 06Excellent stakeholder management and executive communication skills
  • 07Demonstrated ability to drive alignment across cross-functional organizations
  • 08Sound judgment on dual-use questions
  • 09Entrepreneurial mindset, bias for action
  • 10Comfort operating in fast-moving, ambiguous environments

Условия

  • 01Compensation packages include base salary, equity, and benefits
  • 02Salary range determined during interview process based on work location and additional factors
  • 03Equity based compensation subject to Board of Director approval
  • 04Benefits including comprehensive health, dental and vision coverage
  • 05Retirement benefits
  • 06Learning and development stipend
  • 07Generous PTO