The opportunity
This role sits in GitLab's Security product management organization, which owns application security testing, vulnerability management, supply chain security, secrets management, and AI governance. The Security Section is central to GitLab's Ultimate tier and to the shift toward…
What you'll do
Own the business outcomes for Secret Detection and Vulnerability Research,: including adoption, expansion, competitive win rate, and revenue contribution. Bring a point of view on packaging and pricing, not just features.
Set the strategy for the full secret lifecycle: prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed.
Treat detection content as a product. Define how rules, advisories, and: intelligence feeds are sourced, validated, versioned, and measured, and make quality visible to customers.
Hold the line on detection quality. False positives are a product defect and: you will own the metrics that prove precision is improving.
Work 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.
Use 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.
What they're looking for
- Build the case for where AI belongs in the product: triage, rule generation, remediation guidance, and reducing the human review burden per finding.
- Partner with engineering, security research, threat intelligence, Field, and: GitLab's own Security team, who are one of your most demanding users.
- Communicate in writing, asynchronously, with enough precision that a: distributed team can act without a meeting.
