# Senior Product Manager, Secret Detection and Vulnerability Research

**Company:** [GitLab](https://hotfix.jobs/companies/gitlab)
**Location:** Remote
**Role:** Product Management
**Experience:** 5+ years
**Skills:** Application Security, Vulnerability Management, Security Research, Secret Detection, Threat Intelligence, Sdlc Security, Ci Integration, Detection Rules, Data Pipelines, AI, Cloud Tokens, Supply Chain Security
**Posted:** 2026-08-17

> Own the strategy, quality, adoption, and commercial outcomes for GitLab’s Secret Detection and Vulnerability Research products. The role requires application-security expertise, technical fluency in detection systems and pipelines, strong commercial judgment, and effective asynchronous communication.

## Job Description

## Responsibilities
- Own business outcomes for Secret Detection and Vulnerability Research, including adoption, expansion, competitive win rate, and revenue contribution.
- Define packaging and pricing strategy alongside product strategy.
- 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 by defining how rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured.
- Own detection-quality metrics, including precision and false-positive rates.
- Understand detection logic, rule syntax, entropy heuristics, scanner behavior, data pipelines, and CI integration.
- Use AI for research, analysis, data pulls, prototyping, drafting, triage, rule generation, remediation guidance, and reducing human review burden.
- Partner with engineering, security research, threat intelligence, Field, and GitLab’s Security team.
- Communicate clearly and asynchronously with distributed teams.

## Requirements
- Domain depth in application security, vulnerability management, or security research.
- Experience with scanners, detection content, threat intelligence, or SDLC security tooling.
- Technical credibility with security engineering teams and the ability to reason about detection logic, data pipelines, CI integration, and coverage-versus-noise tradeoffs.
- Commercial reasoning grounded in revenue mechanics, buyer motion, and competitive displacement.
- Evidence of using AI as a force multiplier for research, analysis, data gathering, prototyping, or drafting.
- Strong judgment under ambiguity and the ability to provide structured options and recommendations.
- Ability to turn complex technical problems into clear written decisions.

## Nice-to-haves
- Hands-on background as a developer, security engineer, red teamer, or researcher.
- Experience with credential and token ecosystems.
- Experience commercializing a data or intelligence asset.

## Benefits
- Flexible paid time off
- Team member resource groups
- Equity compensation and employee stock purchase plan
- Growth and development fund
- Parental leave

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