Sr. Product Manager, Red Teaming AI – AIDR (HYBRID)

CrowdStrike•Redmond, WA
•$140,000 - $215,000•Hybrid

About The Position

CrowdStrike is seeking a Product Manager to own the strategy and delivery of its automated Red Teaming AI product, integrated with Falcon Guardian. The role defines how customers test AI workloads at scale and works with Data Science and Engineering to improve detection recall, precision, and coverage against emerging AI threats. It sits at the intersection of offensive AI security research, applied machine learning, and enterprise product delivery, with responsibility for building a new product category and supporting detection quality across CrowdStrike’s AI security portfolio. The role owns product vision, roadmap, go-to-market strategy, customer workflows, dataset and scoring capabilities, findings and reporting models, automation, responsible testing requirements, integrations, and pricing and packaging. It also leads cross-functional execution with research, threat intelligence, Engineering, Data Science, Sales, Sales Engineering, Marketing, and analyst relations. This is a hybrid role requiring 2–3 days per week on-site at one of the posted locations.

Requirements

  • At least 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 and 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 and ability to influence cross-functional teams.
  • Proven experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.

Nice To Haves

  • Hands-on experience with Red Teaming AI frameworks such as PyRIT, Garak, or Promptfoo, or 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.

Responsibilities

  • Own the product vision, roadmap, and go-to-market strategy for CrowdStrike’s automated Red Teaming AI capability.
  • Define coverage strategy across agents, HTTP APIs, browser extensions, headless browsers, authenticated application flows, VMs, containers, and CrowdStrike agentic platforms.
  • Own dataset strategy, including turnkey datasets, customer-defined datasets, adaptive AI-driven datasets, and AI-assisted dataset generation.
  • Define a 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 a findings model that turns test failures into trackable, prioritized risks with harm category, technique, severity, and full input/output evidence.
  • Drive automation capabilities, including CI/CD-triggered evaluations, scheduled runs, Fusion triggers, MCP access, and public APIs.
  • Own reporting and evidence-sharing workflows, including secure sharing with application developers and third-party vendors outside the Falcon console.
  • Define responsible red teaming requirements, including egress IP management, request identification, and per-target resource limits.
  • Define how Red Teaming AI and Falcon Guardian prompt detectors work together, including out-of-band guardrail testing, guardrail replay against past evaluations, and guardrails used as converters.
  • Partner with adjacent product lines on integration with AgentWorks evaluations, Falcon Exposure Management, and Charlotte AI.
  • Own the pricing and packaging model for Red Teaming AI, including consumption alignment with Falcon Guardian tokens.
  • Position Red Teaming AI as a low-friction entry point to accelerate customer adoption of Guardian and AIDR.
  • Translate offensive research and threat intelligence into actionable engineering requirements and prioritized backlogs.
  • Lead technical AI security discussions with customers, prospects, and executive audiences.
  • 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 a rapidly shifting AI threat and technology landscape.

Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holidays.
  • Paid parental and adoption leaves.
  • Professional development opportunities for all employees regardless of level or role.
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities.
  • Vibrant office culture with world-class amenities.
  • Eligibility for bonuses and equity grants.
  • Health insurance, 401(k), and paid time off.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service