DoorDash Staff Security Engineer on the Proactive Security Engineering team focused on AI Security Product Engineering. Build and ship AI Security Products to secure DoorDash’s delivery network.
Responsibilities
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.
This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team.
You’re excited about this opportunity because you will...
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. Examples of AI Security Products this team has built include Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives.
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.
We’re excited about you because...
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.
Qualification
Master’s degree in Computer Science
Required
10+ years experience as a Security Product Engineer at Internet scale organization
Master’s degree in Computer Science, Security Engineering, or related field or equivalent work experience
