
Director of Engineering, Sensor Detection Platform
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Minnesota.
• Take ownership of the multi-year strategy, architecture, and roadmap for on-sensor detection, encompassing execution engines, template and pattern frameworks, process classification, and content delivery infrastructure.
• Lead and nurture a team of managers and senior engineers across various groups.
• Oversee hiring, coaching, performance management, and succession planning within the organization.
• Be responsible for detection efficacy and endpoint footprint, which includes CPU, memory, and I/O costs.
• Set performance budgets, establish regression gates, and define fleet health SLOs.
• Ensure safe and effective delivery of detection content through pre-release validation, staged channel-file deployments, rollback procedures, exclusion management, and comprehensive end-to-end testing across various OS platforms and sensor versions.
• Foster on-sensor intelligence, focusing on process classification for AI and agentic workloads as well as runtime foundations for on-sensor model inference.
• Collaborate with detection content engineering, core sensor teams, Cloud Detection Platform, and product management to develop a hybrid sensor/cloud detection architecture.
• Aim to reduce support escalation volume, maintain a reliable testing infrastructure, and optimize release operations.
• Manage escalations and coordinate cross-team dependencies.
• Represent the platform in architectural and planning discussions across the product organization.
• Lead the annual operating plan and organizational planning for the respective area.
• Oversee a platform whose detection engines function on hundreds of millions of endpoints in real time.
• A minimum of 10 years of experience in software engineering.
• At least 5 years of experience managing engineering teams.
• More than 2 years of experience managing other managers.
• Extensive endpoint experience, particularly with EDR/endpoint security agents.
• Knowledgeable in OS internals for Windows, macOS, and Linux.
• Experience with performance and compatibility standards for endpoint software.
• Proven track record of safely delivering software and content updates to large distributed fleets.
• Demonstrated accountability for strategic outcomes over one- to two-year timeframes.
• Strong architectural insight, including efficacy versus footprint trade-offs and make/buy/consolidate decisions.
• Experience in managing incident response, ensuring release safety, monitoring fleet health, and handling escalations.
• Ability to lead through uncertain times, organizational changes, competing priorities, and cross-team dependencies.
• Excellent communication skills to interact effectively with executives, peers, and engineers.
• Proven experience leveraging AI technologies to improve decision-making, streamline workflows and processes, enhance efficiency, and drive business results.
• Bonus: Experience in detection engineering, malware analysis, or threat intelligence.
• Bonus: Familiarity with MITRE ATT&CK evaluations.
• Bonus: Experience with detection-as-code, content management systems, or rule/template authoring platforms.
• Bonus: Knowledge of on-device ML, model runtimes, inference on heterogeneous hardware, or deploying resource-constrained models.
• Bonus: Experience integrating AI-assisted or agentic workflows into engineering practices.
• Industry-leading compensation and equity awards.
• Comprehensive programs for physical and mental wellness.
• Competitive vacation and holiday policies for personal recharge.
• Paid parental and adoption leave.
• Professional development opportunities available for all employees, regardless of level or role.
• Employee Networks, neighborhood groups, and volunteer opportunities to foster connections.
• A vibrant office culture complemented by world-class amenities.
• Bonuses.
• Equity grants.
• Health insurance.
• 401k plan.
• Paid time off.
Cushman & Wakefield
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