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Senior AI Product Manager, Cybersecurity

New York, NY💼 Full-time💰 $205,600–$205,600🗓 2026-08-04 → 2026-09-26

Core

Define strategy and standards for Scale's Cybersecurity portfolio (data, environments, evaluations) to train and measure security capability in frontier AI models.

Role type

Senior AI Product Manager (Cybersecurity)

Builds

Training data, RL environments, agentic task suites, and evaluation products for security capability measurement

Domain

AI for Security / Cybersecurity

Deliverable

production ML models

Required skills

Vulnerability research, fuzzing, reproducer development, patch/root-cause analysis, exploit development, malware analysis, red teaming, detection engineering, incident response, product strategy, roadmap ownership, task taxonomy design, pricing strategy, infrastructure roadmap planning, data quality governance, IP hygiene, contributor network management, external partnership management, customer requirements translation

Preferred skills

Competitive CTF experience, published CVEs, bug bounty records, OSS-Fuzz contributions, knowledge of AI-for-security evaluation landscape (CyberGym, Cybench, CVE-Bench), software engineering depth, post-training/evaluation familiarity, executive communication

Technologies

SWE-Bench Pro, SWE Atlas, Terminal-Bench, fuzzing toolchains, sandboxed execution environments, container-based rollout infrastructure

Responsibilities

Own roadmap and strategy for Cybersecurity portfolio across training data, RL environments, agentic task suites, and evaluation products; Define capability map for vulnerability discovery, proof-of-concept reproduction, patch generation, secure code review, supply-chain analysis, malware/binary analysis, detection engineering, and incident triage; Make strategic calls on offense–defense spectrum capabilities; Partner with ML researchers and security practitioners on task specifications and verifiable rewards; Drive infrastructure roadmap for reproducible vulnerability images, fuzzing, sandboxed execution, and automated verification; Establish governance for data quality, contamination prevention, license/IP hygiene, and release management; Recruit and steward a network of security practitioners; Own external partnerships with open-source benchmarks, academic groups, and enterprises; Work with frontier labs and enterprise customers to translate model failures into roadmap items

Seniority

Senior, hands-on IC

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