Sr. Product Manager, Agentic Coverage - Falcon Guardian (Hybrid)

CrowdStrike Inc.; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

CrowdStrike is seeking an experienced Product Manager for its Falcon Guardian team. You will own the breadth and depth of agentic coverage, including AI agents, agent frameworks, and MCP server components, guiding discovery, inventory, and enforcement across customer environments.

You will collaborate with fellow PMs, engineers, data scientists, and designers to maintain an active roadmap and ship updates efficiently.

Qualifications

• Minimum 5+ years of product management experience in cybersecurity, AI/ML, or emerging tech.
• Strong working knowledge of AI agents, agent frameworks, MCP, and LLM tooling.

Responsibilities

• Own and evolve the agent coverage roadmap across coding agents, desktop assistants, enterprise copilots, and agent runtimes.
• Define discovery, inventory, and risk assessment for MCP servers and their configurations.
• Collaborate with Guardian PMs to align coverage with detection and enforcement goals.
• Translate evolving agent traffic into crisp requirements and backlogs.
• Support cross-functional teams with enablement and customer-facing perspectives.

Skills

Product management

AI/ML concepts

Security knowledge

Tools

MCP servers

LLM tooling

Agent frameworks

Job description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

Falcon Guardian is already in market. Our sensors and collectors are discovering AI agents, skills, MCP servers, and models across enterprise environments today, and customers are actively enforcing policy against them. The demand is real and the problem is urgent. What we need now is help keeping pace - because the agentic ecosystem is evolving faster than any technology shift in CrowdStrike's history.

We're seeking an experienced Product Manager to join our established Guardian product team and own agentic coverage: the breadth, depth, and speed with which Guardian understands every AI agent, model, and agentic component running in a customer's environment. You'll step into a shipping product with real customers, an active roadmap, and a team of PMs, engineers, data scientists, and designers who have already built the foundation.

New coding agents, desktop assistants, enterprise copilots, agent frameworks, and MCP servers appear in customer environments weekly - often before security teams know they exist. Your charter is to make sure Falcon Guardian sees them, understands what they're doing, and can control them.

PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

What You'll Do:

Agent Fleet Coverage

• Own and evolve the coverage roadmap across coding agents, desktop assistants, enterprise copilots, browser-based agents, agent frameworks, and emerging agent runtimes
• Establish a repeatable framework for prioritizing new agent types based on adoption signals, customer demand, threat exposure, and engineering cost
• Define what "supported" means for a new agent harness across discovery, inventory, session reconstruction, prompt and response visibility, and enforcement
• Drive down time-to-coverage so customers see support for newly released agents in weeks, not quarters
• Advance self-defining and heuristic agent identification so Guardian generalizes beyond the agents we explicitly enumerate
• Track the agentic landscape continuously and translate what you learn into requirements

AI Supply Chain & Component Coverage

• Own coverage for the components agents depend on: MCP servers, skills, tools, models, and packages
• Define discovery, inventory, and risk assessment for local and remote MCP servers and their configurations
• Own skills and tool coverage, including similarity matching and identification of malicious or unsanctioned skill content
• Drive model coverage across cloud-hosted, enterprise-grounded, and locally-running models with on-endpoint inference

Working Across the Team

• Collaborate with fellow Guardian PMs covering detection efficacy, red teaming, user experience, policy, and platform so coverage, detection, and enforcement advance together
• Feed new agentic coverage into detector requirements as agent traffic patterns, payload sizes, and tool contexts evolve
• Ensure newly covered agent types are represented in red teaming targets and test datasets
• Enable managed service and threat hunting teams to operationalize agentic telemetry

Leadership & Execution

• Lead agentic security conversations with customers, prospects, analysts, and executive audiences
• Translate a fast-moving landscape into crisp requirements, prioritized backlogs, and shippable increments
• Support Sales and Sales Engineering with enablement, coverage positioning, and competitive differentiation
• Make hard prioritization calls across breadth of coverage, depth of understanding, and speed of delivery

What You'll Need:

• 5+ years of product management experience in cybersecurity, AI/ML, or emerging technology domains
• Strong working knowledge of AI agents, agent frameworks, MCP, and LLM tooling - including