Senior AI Product Manager, Cybersecurity

Scale AI
New York, San Francisco
Workplace: OnsiteFull timeUSD 205,600 - 257,000 annuallyFunction: Product ManagementExperience: 5+ yearsSkills: ["Stakeholder management","Executive communication","Sound judgment","Bias for action","Entrepreneurial mindset"]

Build and own Scale’s Cybersecurity product line end to end—defining roadmap and standards for training data, RL environments, agentic task suites, and evaluation products. Translate security capability needs into a capability map (from vulnerability discovery and patch generation to secure code review and incident triage), partner with researchers and practitioners on grader and reward design, and drive reproducible, verifiable infrastructure and data governance. Recruit and steward contributors, and lead external collaborations and GTM launches.

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FursaFursa
Scale AI
Scale AI
6 days ago

Senior AI Product Manager, Cybersecurity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and own Scale’s Cybersecurity product line end to end—defining roadmap and standards for training data, RL environments, agentic task suites, and evaluation products. Translate security capability needs into a capability map (from vulnerability discovery and patch generation to secure code review and incident triage), partner with researchers and practitioners on grader and reward design, and drive reproducible, verifiable infrastructure and data governance. Recruit and steward contributors, and lead external collaborations and GTM launches.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own the roadmap and strategy for the cybersecurity portfolio, aligning tasks, evaluations, pricing, and the first external release.
  • •Define the capability map and task taxonomy (vulnerability discovery, reproduction, patching, regression safety, secure code review, supply-chain analysis, detection engineering, incident triage).
  • •Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards, using execution-grounded verification.
  • •Drive the infrastructure and data sourcing roadmap for reproducible vulnerability images, sandboxed execution, network-segmented ranges, automated verification, and scalable pipelines.
  • •Establish responsible-development posture and governance (containment, coordinated disclosure, data quality, contamination prevention, license/IP hygiene, and release management).

Pay and Benefits

Salary: USD 205,600 - 257,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •Own the end-to-end roadmap and strategy for a new cybersecurity product line spanning training data, RL environments, agentic task suites, and evaluation products.
  • •Have real cybersecurity experience such as vulnerability research, fuzzing/crash triage, reproducer development, patch and root-cause analysis, exploit/malware work, red teaming, detection engineering, or incident response.
  • •Bring 5+ years in product management, technical program management, consulting, or customer-facing technical roles (or equivalent practitioner depth).
  • •Have enough software engineering depth to read unfamiliar code and reason about runtime behavior.
  • •Understand AI-for-security evaluation and be familiar with the evaluation landscape and where current approaches fall short.
Experience:5+ yearsCybersecurityAI-for-security evaluationAgentic AIMachine learningOpen-source benchmarks
Skills:Stakeholder managementExecutive communicationSound judgmentBias for actionEntrepreneurial mindset
Languages:English
Tech Stack:RL environmentsContainer-based rolloutSandboxed executionFuzzingBuild toolchains

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn