Sr. Engineering Manager, AI on Sensor (Hybrid)

CrowdStrike•Sunnyvale, CA

17h•Hybrid

About The Position

CrowdStrike Falcon Host includes a sensor installed on client machines and a cloud component. The sensor observes system activity, detects and prevents malicious behavior, and sends telemetry to the cloud, where activity is correlated across a customer’s network and threats are prioritized. The Sr. Engineering Manager will build and lead a team delivering an integrated set of AI capabilities on CrowdStrike’s next-generation sensor platform across Windows, macOS, and Linux. The role owns the endpoint AI roadmap, including operationalizing machine-learning models, building data pipelines, and delivering efficient on-device inference. The manager partners with data science, cloud, and sensor platform teams to turn research into shipped products. The role has ownership of major components and development projects, as well as hiring, training, and growing the team. It includes helping architect and implement core features that may cross operating-system subsystems and share components across platforms. The manager is expected to lead projects efficiently while maintaining high standards for performance, cost, design, coding quality, and testing. The position is part of the CTIO team, which defines and executes CrowdStrike’s technology vision and strategy and oversees the Falcon platform’s development and evolution. Employment in Canada requires maintaining legal entitlement to work in Canada. Applicants advancing in the hiring process are subject to background checks, which may include criminal record, credit, and reference checks.

Requirements

General knowledge and understanding of C++ and Windows, macOS, and Linux operating-system internals.
Hands-on experience operationalizing machine-learning models on endpoints, including building data pipelines that collect, transform, and deliver sensor telemetry for model training, evaluation, and on-device inference.
Experience working with teams to ship major features and releases.
Previous experience as a Senior Manager or Engineering Manager with direct reports.
Ability to lead, mentor, communicate, collaborate, and work effectively in a distributed team.

Nice To Haves

Strong background in scalable, lightweight, high-performance systems.
Operating-system expertise in core concepts and subsystems.
Familiarity and experience with Agile processes.
Knowledge and expertise in the security landscape.

Responsibilities

Build, lead, hire, train, and grow a team developing AI capabilities for the next-generation sensor platform.
Own the roadmap for AI on the endpoint, including operationalizing machine-learning models, building data pipelines, and delivering efficient on-device inference.
Partner with data science, cloud, sensor platform, and sensor development teams to turn research into shipped products and collaborate on architecture and strategic initiatives.
Conceptualize and develop product features, and guide development teams in designing and implementing software for Windows, macOS, and Linux.
Own features throughout their lifecycle, from initial design through final delivery, including presenting product demonstrations at the conclusion of each sprint.
Assist with architecting solutions and implementing core features that may span file system, memory, process, and networking subsystems.
Lead projects efficiently while maximizing performance, minimizing costs, and maintaining standards for design, coding quality, unit testing, and component testing.
Collaborate effectively with cross-functional teams in various locations.