About the job
Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on AI Security Product Engineering following a forward deployed engineering Pod model. You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our AI surfaces for our Customer, Merchant and Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship AI Security Products including Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives. This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team.
Responsibilities
Co-lead the technical direction and roadmap for secure and responsible building of AI Security Products at DoorDash.
Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system.
Execute rigorous cross-brand AI enabled vulnerability discovery, multi-level harnesses and automated remediation to protect the company against Mythos-era equipped adversaries.
Mentor and coach earlier career engineers, setting and enforcing exceptional standards for Operational Excellence and Software Engineering.
Qualifications
Minimum
10+ years of experience as a Security Product Engineer at an Internet scale organization of demonstrated technical leadership building outcomes at global scale.
Master’s degree in Computer Science, Security Engineering, a related field or equivalent work experience.
Embed with product teams to design, build, and deploy security controls for consumer, merchant, and Dasher products.
Develop reusable “paved road” solutions that help teams build secure AI products by default.
Partner with Product Engineering, Legal, Data, Security Platform, and other teams to translate security and regulatory requirements into practical engineering controls.
Demonstrated technical leadership in designing scalable, AI enabled and ergonomic Security Review threat modeling.
Hands-on experience securing LLM or agentic systems, or demonstrated ability to move quickly into the space from adjacent depth in authorization, sandboxing, or untrusted input handling.
Demonstrated builder in one or more object oriented languages (e.g. Go, Java) designing technical Security Engineering controls and processes to meet business and regulatory requirements.
Exceptional problem solving of complex, systemic issues that require audacious thinking, rigor and creativity.
Exceptional analytical and investigative abilities with hands-on experience leading root cause analysis for security incidents and driving long term roadmaps to remediate.
Exceptional verbal and written communication skills.
Preferred
No preferred qualifications listed.