Director, Engineering – Cloud Detection Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the multi-year strategy, architecture, and roadmap for the Cloud Detection Platform.

• Lead and develop a team of managers and senior engineers across various teams.

• Manage the complete talent lifecycle, encompassing hiring, coaching, performance evaluation, and succession planning.

• Ensure accountability for reliability, latency, and cost associated with detection rule execution at fleet scale.

• Define Service Level Objectives (SLOs) and oversee capacity, quotas, and Cost of Goods Sold (COGS).

• Propel the evolution towards a cohesive multi-engine detection architecture that supports scheduled, real-time, and retrospective execution.

• Collaborate with detection engineering, content, product management, and data platform teams to prioritize and fulfill roadmap commitments.

• Establish guardrails for secure detection content deployment, including pre-release validation, staged rollouts, rollback procedures, exclusion management, and comprehensive end-to-end testing.

• Anticipate and navigate escalations and dependencies across teams.

• Represent the platform in architectural and planning discussions within the product organization.

• Lead the annual operating plan and organizational planning for the domain.

• Direct the Cloud Detection Platform that executes detection logic in the cloud at large scale and supports detection engineers across endpoint, cloud, identity, and next-gen SIEM.

⛳️ Requirements

• Over 10 years of software engineering experience.

• More than 5 years of experience managing engineering teams.

• At least 2 years of experience managing managers.

• Proven experience overseeing large-scale distributed systems in production, preferably in data-intensive platforms like query/search engines, streaming systems, or rule/event processing pipelines.

• A strong record of being fully accountable for strategic outcomes over one to two-year timeframes.

• Excellent architectural judgment with the ability to participate in design reviews, influence technical direction, and make build/buy/consolidate decisions.

• Experience managing operational excellence for customer-facing services, including SLOs, incident response, capacity planning, and cost management.

• Demonstrated ability to lead through uncertainty, organizational changes, competing priorities, and cross-team dependencies.

• Exceptional communication skills when interacting with executives, peers, and engineers.

• Proven experience leveraging AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.

• Domain expertise in security, detection engineering, SIEM, or threat intelligence.

• Familiarity with detection-as-code, content management systems, or rule authoring platforms.

• Experience in multi-tenant capacity management, fair-usage models, or optimizing COGS at cloud scale.

• Experience incorporating AI-assisted or autonomous workflows into engineering practices.

🏝️ Benefits

• Competitive compensation and equity awards at a market-leading level.

• Comprehensive physical and mental wellness programs.

• Generous vacation time and holidays to recharge.

• Paid parental and adoption leaves.

• Opportunities for professional development available to all employees, regardless of their level or role.

• Employee Networks, neighborhood groups, and volunteer opportunities to foster connections.

• A vibrant office culture complemented by world-class amenities.

• Health insurance coverage.

• 401k retirement plan.

• Paid time off.

• Eligibility for performance bonuses.

• Equity grants.