# Senior AI Product Manager, Cybersecurity

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** New York, NY, San Francisco, CA
**Role:** Product Management
**Salary:** $206k – $257k/yr
**Experience:** 5+ years
**Skills:** Cybersecurity, vulnerability research, fuzzing, exploit development, malware analysis, Incident Response, detection engineering, Machine Learning, Reinforcement Learning, Agentic AI, Python, Software Engineering, containerization, benchmarking, Product Strategy
**Posted:** 2026-08-04

> Own the strategy, roadmap, and launch of a cybersecurity AI product portfolio spanning training data, agentic environments, and evaluations. The role requires substantial hands-on cybersecurity experience, product leadership, software engineering depth, and familiarity with AI model post-training and evaluation.

## Job Description

## Responsibilities
- Own the roadmap and strategy for the cybersecurity portfolio across training data, reinforcement-learning environments, agentic task suites, and evaluation products.
- Define the capability map for 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.
- Determine which capabilities to build training data for, measure only, or decline across the offense–defense spectrum.
- Partner with machine-learning researchers and security practitioners on task specifications, grader design, and verifiable rewards.
- Drive infrastructure for reproducible vulnerability images, fuzzing and build toolchains, sandboxed execution, network-segmented ranges, and automated verification.
- Build sourcing pipelines that scale beyond hand curation.
- Own responsible-development processes, including containment, coordinated disclosure, sensitive-artifact handling, 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 vulnerability researchers, exploit developers, malware analysts, detection engineers, and incident responders.
- Own external partnerships with open-source benchmark collaborations, academic security groups, and enterprise data partners.
- Work with frontier labs and enterprise customers to identify model security weaknesses, translate findings into roadmap priorities, and partner with go-to-market teams on launches and thought leadership.

## Requirements
- 5+ years in product management, technical program management, consulting, or customer-facing technical roles, or equivalent practitioner experience with a path toward product ownership.
- Professional cybersecurity experience in areas such as vulnerability research, fuzzing, crash triage, reproducer development, patch and root-cause analysis, exploit development, malware analysis, red teaming, detection engineering, or incident response.
- Software engineering depth sufficient to read unfamiliar code and reason about runtime behavior.
- Familiarity with model post-training and evaluation, agentic scaffolds, and container-based rollout infrastructure.
- Excellent stakeholder management and executive communication skills.
- Sound judgment on dual-use questions and commitment to defender-focused capability measurement.
- Entrepreneurial mindset, bias for action, and comfort in ambiguous environments.

## Nice-to-haves
- Competitive CTF experience, published CVEs, a bug bounty record, or OSS-Fuzz contributions.
- Knowledge of AI-for-security evaluation benchmarks, including CyberGym, Cybench, CVE-Bench, BountyBench, and CyberSecEval.

## Compensation and Benefits
- Base salary range: **$205,600–$257,000 USD**.
- Compensation may include equity and benefits; the final salary depends on work location, skills, experience, qualifications, interview performance, and education or training.
- Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.

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