Jobs at CrowdStrike

Leads a team developing AI capabilities for CrowdStrike’s cross-platform endpoint sensor. Owns the AI-on-endpoint roadmap, including machine learning model operationalization, telemetry data pipelines, on-device inference, architecture, feature delivery, and cross-functional collaboration. Manages hiring, mentoring, engineering quality, testing, performance, and releases across Windows, macOS, and Linux sensor platforms.

Lead and develop distributed engineering teams building endpoint security sensor components across Windows, macOS, and Linux. Own the team roadmap, architecture, delivery, testing, performance, code quality, and safe releases. Guide systems-level development involving file systems, memory, processes, networking, and OS internals. Coach engineers, drive cross-team alignment, and support secure, reliable, high-performance software deployment at scale.

Design and develop AI capabilities for CrowdStrike’s cross-platform endpoint sensor across macOS, Linux, and Windows. Responsibilities include operationalizing machine learning models, building telemetry pipelines for training and inference, integrating features with core OS subsystems, debugging performance and memory issues, and leading architecture, delivery, mentoring, and cross-functional collaboration.

Design and implement core features for a lightweight macOS security sensor, collaborate cross-platform with teams, own feature lifecycle from design through delivery, debug low-level memory and performance issues, and mentor distributed engineers while aligning sensor architecture with broader Falcon Host strategy.

The role involves designing and developing core features for the Linux sensor in CrowdStrike's security platform, collaborating with teams across the company, and maintaining software quality for cross-platform delivery.

Lead strategy and execution for CrowdStrike's Identity Protection product: detect and prioritize identity risk across human and non-human identities, define identity graph models, drive remediation automation and verification, and surface identity risk across the security stack. Use AI agents and rapid prototyping to iterate specs and partner with engineering, customers, and stakeholders to deliver usable identity risk solutions.

Designs and develops lightweight cybersecurity sensor software for Linux, Windows, and macOS. Responsibilities include creating cross-platform endpoint security features, collaborating on architecture and strategic initiatives, debugging memory corruption and performance issues, owning features from design through delivery, and mentoring distributed development teams. The role focuses on OS internals, system-level programming, telemetry, prevention, and high-performance components.

Lead the design and implementation of major cloud architecture components for highly scalable, low-latency services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, mentorship, and code reviews. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through hiring, design reviews, postmortems, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating resilient, high-volume Tier-1 cloud systems.

Lead the design and implementation of major cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating high-volume, resilient Tier-1 cloud systems.

Research and implement macOS detection techniques and build them into production endpoint sensor features. Drive projects from concept through release, collaborate cross-functionally, troubleshoot issues, and apply secure, high-performance engineering practices using Swift/C++ and related tools.

Design and implement Windows sensor detection and prevention features for the Falcon platform. Research attack techniques, develop user- and kernel-mode detection logic, own features from design through release, apply secure coding and CI/CD practices, troubleshoot customer issues, and collaborate across teams to improve telemetry and protections.

Lead product strategy and roadmap for AI-native capabilities in CrowdStrike's Next-Gen SIEM. Collaborate with engineering, data science, research, marketing, sales, and support to design, deliver, and position AI-driven detection, investigation, and prevention features. Conduct competitive analysis, define use cases, and engage customers to inform product direction while supporting go-to-market and cross-functional execution.

Edit and quality-assure cybersecurity intelligence reports using rigorous grammar, style, and editorial standards. Manage publishing workflows, queues, schedules, and stakeholder review cycles while resolving publication issues and bottlenecks. Collaborate with analysts, writers, engineers, and creative teams; use publishing platforms and AI tools to improve processes. Mentor junior editors, develop professional resources, and communicate proactively to support timely, accurate, high-impact deliverables.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Sell CrowdStrike’s cybersecurity platform to commercial and mid-market or enterprise customers in Ontario. Own the complete sales cycle from prospecting through closing, generate net-new business, manage quota and forecasts, collaborate with channel partners and internal sales teams, and present value to executive and security or IT leadership. The role requires consultative selling, competitive market knowledge, technical aptitude, AI-enabled workflow improvement, and occasional customer travel.

Manages strategic relationships with cybersecurity services retainer customers, helping them improve preparedness and optimize service investments. Responsibilities include customer success planning, account reviews, service scoping, coordination with Sales and Delivery, documentation, account expansion, and program improvement. The role requires cybersecurity services knowledge, incident response awareness, strong project coordination, senior-level relationship management, communication, workload management, and the ability to use AI technologies to improve business outcomes.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.