Senior Product Manager, Secret Detection and Vulnerability Research
New
G
GitLabApplication security
Remote, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- Artificial Intelligence
Requirements
- Bring domain depth in application security, vulnerability management, or security research.
- Have worked on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling.
- Understand how security products are evaluated in a bake-off.
- Bring technical credibility to reason about detection logic, data pipelines, CI integration, and coverage-versus-noise tradeoffs.
- Apply commercial reasoning to revenue mechanics, buyer motion, and competitive displacement.
- Demonstrate using AI as a force multiplier in research, analysis, data pulls, prototyping, or drafting.
- Exercise judgment under ambiguity by presenting structured options and a recommendation.
- Communicate complex technical issues with clarity in writing.
- Bonus: hands-on experience as a developer, security engineer, red teamer, or researcher.
- Bonus: experience with credential and token ecosystems or commercializing a data or intelligence asset.
Responsibilities
- Own adoption, expansion, competitive win rate, and revenue contribution for Secret Detection and Vulnerability Research.
- Set strategy for prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed.
- Define how detection rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured.
- Own metrics that demonstrate improvements in detection precision and quality.
- Evaluate detection rule syntax, entropy heuristics, scanner misses, and engineering alternatives.
- Use AI to research, analyze data, prototype workflows, and synthesize competitive input.
- Build the case for AI in triage, rule generation, remediation guidance, and reducing manual review.
- Partner with engineering, security research, threat intelligence, Field, and GitLab Security.
- Communicate precise decisions and updates asynchronously in writing.
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