Hiring: Engineering Manager, Proactive Security - Pods Company: DoorDash Location: United States Job Posted Time: 2026-09-17 09:45:18 Employment Type: Remote Target Skills & Keywords : Microsoft Excel, Penetration Testing, Root Cause Analysis About the job Experience: •12+ years of experience as a Security Product Engineer at an Internet scale organization with 3+ years of demonstrated technical leadership leading teams building outcomes at global scale. Required Skills: •Our Security Engineering team is looking for an Engineering Manager, Proactive Security to set and lead the technical direction for Security Product Engineering at DoorDash globally. •Be a part of our inclusive, collaborative global team responsible for building “paved road” Security Product controls directly into our Customer, Merchant and Dasher products to ensure a safe, secure and resilient delivery network. This is a US remote position reporting directly to the Director of our Security Engineering team. •You’re Excited About This Opportunity Because You Will… •Set and execute the technical vision for Security Product Engineering Pods, Bug Bounty and Vuln Management teams, ensuring alignment with DoorDash business objectives. •Lead the overall Security Product Engineering, Bug Bounty and Mythos era Vulnerability Management direction and roadmap execution. •Coach and mentor highly skilled engineers as a “player-coach” leaning in to understand Customer, Merchant and Dasher security problems at the lowest level and lead the team to build the right proactive controls. Success is not measured in shipping code, it's measured in annihilating and improving classes of vulnerabilities. •Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to execute rigorous, agent enabled cross-brand Bug Bounty Program, Penetration Testing Program and Vulnerability Management Program against Mythos era equipped adversaries. •Build and maintain high Operational Excellence (OE) security services (e.g. Vuln Management Data Lakes) to ensure we operate with excellence, rigor and durable standards to ensure minimal downtime. Qualifications: •Master’s degree in Computer Science, Security Engineering, a related field or equivalent work experience. Compensation: •$193,800 - $285,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •In addition to base salary, the compensation for this role includes opportunities for equity grants Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!