Senior Product Manager, Red Teaming AI

CrowdStrike

. Own the product vision, roadmap, and go-to-market strategy for CrowdStrike's automated Red Teaming AI capability .

Posted 9/21/2026full-timeUnited StatesSenior💰 $140,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for cybersecurity and AI/ML, with a strong focus on Red Teaming AI capabilities, dataset strategy, and integration with security frameworks. Proven ability to lead cross-functional teams and translate complex security concepts into actionable product requirements.

Highest-signal resume keywords

Product Management ExperienceRed Teaming AI FrameworksAI/ML Model EvaluationOffensive Security ConceptsCI/CD Pipeline Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementRed TeamingAI/ML TechnologiesModel Evaluation MetricsDataset CurationPenetration TestingSecurity Testing AutomationAPI DesignCompliance RequirementsTechnical Validation

Soft Skills

Customer-Centric MindsetStrong Communication SkillsCross-Functional CollaborationInfluencing SkillsAdaptability

Tools & Technologies

PyRITGarakPromptfooMCPCI/CD ToolsAI Governance FrameworksApplication Security Testing ToolsDAST

Industry Keywords

CybersecurityAI/MLRed TeamingVulnerability ManagementSecurity ValidationThreat IntelligenceOffensive SecurityModel Risk Management

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Own the product vision, roadmap, and go-to-market strategy for CrowdStrike's automated Red Teaming AI capability
Define target coverage across agents, HTTP APIs, browser extensions, headless browsers, authenticated application flows, VMs and containers, and CrowdStrike agentic platforms
Own the dataset strategy, including turnkey, customer-defined, adaptive AI-driven, and AI-assisted datasets
Define the converter library for jailbreaking techniques, translation, tone variation, and multimodal and file-based attack generation
Own scoring capabilities including LLM-as-judge, deterministic checks, value transformation, and multi-scorer evaluation
Define the findings model for trackable, prioritized risks with harm category, technique, severity, and full input/output evidence
Drive automation through CI/CD-triggered evaluations, scheduled runs, Fusion triggers, MCP access, and public APIs
Own reporting and evidence-sharing workflows with application developers and third-party vendors
Define responsible red teaming requirements including egress IP management, request identification, and per-target resource limits
Define integration between Red Teaming AI and Falcon Guardian prompt detectors
Partner with adjacent product lines on AgentWorks evaluations, Falcon Exposure Management, and Charlotte AI integration
Own pricing and packaging aligned with Falcon Guardian tokens
Position Red Teaming AI as an entry point for Guardian and AIDR adoption
Translate offensive research and threat intelligence into engineering requirements and prioritized backlogs
Lead technical AI security discussions with customers, prospects, and executives
Support Sales and Sales Engineering with field enablement, technical validation, and competitive positioning
Partner with Marketing and analyst relations on category definition and thought leadership
Engage Engineering and Data Science leadership on resource allocation, model investment, and technical trade-offs
Maintain roadmap responsiveness to changing AI threats and technology

Requirements

What you’ll need

5+ years of product management experience in cybersecurity, AI/ML, or emerging technology domains
Understanding of offensive security concepts such as penetration testing, red teaming, vulnerability management, or security testing automation
Strong understanding of LLM architectures, AI agents, and AI-specific attack vectors including prompt injection and jailbreaking
Technical background sufficient to reason about model evaluation metrics, classifier performance, and detection quality trade-offs
Experience building products in ambiguous, fast-moving environments where the category is still being defined
Customer-centric mindset with the ability to translate security team workflows into product requirements
Proven ability to work effectively with engineering and data science teams on novel technical challenges
Strong written and verbal communication skills with the ability to influence cross-functional teams
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Hands-on experience with Red Teaming AI frameworks such as PyRIT, Garak, or Promptfoo, or with commercial Red Teaming AI tooling
Experience with ML model evaluation, benchmark design, dataset curation, or labeling operations
Familiarity with CI/CD pipelines, developer workflows, API design, and MCP
Experience with AI governance frameworks, responsible AI, or model risk management
Background in application security testing, DAST, or continuous security validation products
Understanding of AI agents, agentic platforms, A2A, MCP, and AI gateways
Experience with compliance and regulatory requirements for AI systems

Benefits

Comp & perks

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Bonuses
Equity grants
Health insurance
401k
Paid time off