GitLab6 days ago
Senior Product Manager, Secret Detection and Vulnerability Research
Salary not specified
MARKET
65,900 ₽median for this role
AI Researcher · 37 jobs with disclosed pay
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Remote
Responsibilities
- 01Own the business outcomes for Secret Detection and Vulnerability Research, including adoption, expansion, competitive win rate, and revenue contribution
- 02Set the strategy for the full secret lifecycle: prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed
- 03Treat detection content as a product. Define how rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured, and make quality visible to customers
- 04Hold the line on detection quality. False positives are a product defect and own the metrics that prove precision is improving
- 05Work at the level of the technology. Read the rule syntax, question the entropy heuristics, understand why a scanner missed something, and challenge engineering with informed alternatives
- 06Use AI to compress the distance between question and answer. Pull your own data, prototype your own flows, synthesize research and competitive input yourself, and bring conclusions rather than requests for someone else to investigate
- 07Build the case for where AI belongs in the product: triage, rule generation, remediation guidance, and reducing the human review burden per finding
- 08Partner with engineering, security research, threat intelligence, Field, and GitLab's own Security team
- 09Communicate in writing, asynchronously, with enough precision that a distributed team can act without a meeting
Requirements
- 01Domain depth in application security, vulnerability management, or security research
- 02Experience working on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling
- 03Technical credibility sufficient to earn the respect of a security engineering team
- 04Ability to reason about detection logic, data pipelines, CI integration, and tradeoffs between coverage and noise
- 05Commercial reasoning starting from revenue mechanics, buyer motion, and competitive displacement
- 06Evidence of using AI as a force multiplier in research, analysis, data pulls, prototyping, drafting
- 07Judgment under ambiguity and ability to bring structured options and recommendations
- 08Bias for clarity and ability to take noisy, technical problems and produce clear alignment documents
What we offer
- 01Work with industry leaders to solve complex problems
- 02High-performance culture driven by values and continuous knowledge exchange
- 03Distributed team environment with asynchronous communication
- 04Embrace AI as a core productivity multiplier in daily workflows