Vice President, Agentic Systems

About the role

The Data Science team is expanding and is looking for an experienced executive to lead our agentic systems research & development. CrowdStrike’s cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day. CrowdStrike’s Data Science organization is evolving and growing — we operate at the cutting edge where Machine Learning, Big Data, and Cybersecurity converge. We are seeking a Vice President to provide visionary leadership and drive the next generation of agentic systems research and development.

Responsibilities

• Work at the intersection of Artificial Intelligence and Threat Research
• Work closely with subject matter experts in cybersecurity to understand analyst workflows and their security operations procedures
• Lead the development of systems that automate analyst procedures using AI agents and devise systems that combine agents into increasingly complex workflows
• Lead the research into new approaches to agentic planning
• Collaborate and coordinate across Engineering, Data Science, and Managed Services teams
• Establish robust operations for agentic systems

Requirements

• A minimum of 12 years of experience is required in data science, computational research, or machine learning, with a demonstrated history of leading high-impact technical teams
• Experienced leading teams building AI and agentic systems
• Experienced in driving objective-driven data science projects
• Familiarity with the cybersecurity domain
• Demonstrated success in setting vision, influencing technical direction, and aligning cross-functional teams in dynamic environments
• Strong leadership presence with excellent communication skills to engage across all organizational levels — from ICs to C-level executives

Qualifications

CrowdStrike, Inc. is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $320,000- $370,000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.