Director, Engineering - Cloud Detection Platform (Remote)

Overview

Lead the Cloud Detection Platform engineering organization at CrowdStrike, which builds the cloud detection engines and the content delivery infrastructure that run and manage detection logic at fleet scale.

What you'll do

• Own the multi-year strategy, architecture, and roadmap for the Cloud Detection Platform, from detection engines to the content delivery infrastructure that supports them
• Lead and grow an organization of managers and senior engineers across multiple teams, owning the full talent lifecycle: hiring, coaching, performance, and succession
• Be accountable for the reliability, latency, and cost of detection rule execution at fleet scale, including SLO definition, capacity and quota management, and COGS
• Drive the evolution toward a unified multi-engine detection architecture, balancing scheduled search, real-time, and retrospective execution across engines
• Partner closely with detection engineering, content, product management, and data platform teams to prioritize and deliver against roadmap commitments
• Build the guardrails that make shipping detection content safe: pre-release validation, staged deployment, rollback, exclusion management, and end-to-end testing
• Anticipate and manage escalations and cross-team dependencies, and represent the platform in architecture and planning forums across the product organization
• Drive annual operating plan and organizational planning for your area, and reflect CrowdStrike's culture in how your teams operate

What you'll need

• 10+ years of software engineering experience, including 5+ years managing engineering teams and 2+ years managing managers
• Experience owning large-scale distributed systems in production, ideally data-intensive platforms such as query/search engines, streaming systems, or rule/event processing pipelines
• A track record of being fully accountable for strategic outcomes over one-to-two-year horizons, not just project delivery
• Strong architectural judgment: you can engage credibly in design reviews, influence technical direction, and make build/buy/consolidate calls
• Experience managing operational excellence for customer-facing services: SLOs, incident response, capacity planning, and cost management
• Demonstrated ability to lead through ambiguity, including organizational change, competing priorities, and cross-team dependencies
• Excellent communication skills with executives, peers, and engineers
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Nice to have

• Domain experience in security, detection engineering, SIEM, or threat intelligence
• Experience with detection-as-code, content management systems, or rule authoring platforms
• Experience with multi-tenant capacity management, fair-usage models, or COGS optimization at cloud scale
• Experience integrating AI-assisted or agentic workflows into engineering practice

Details

• Location: USA, remote
• Base salary range for U.S. candidates: $195,000 - $290,000 per year, with eligibility for bonuses and equity grants