below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$152,112–$216,271
— the blue band above.
At the midpoint, this role pays about
$239k
versus about
$184k
for comparable roles.
Based on 240 similar postings.
Employer
About DoorDash, Inc
DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.
DoorDash, Inc currently has
97 open roles
on FindRole.
Listed pay typically runs
$163,800–$240,900
across 96 roles with salary data.
The Staff Security Engineer, Proactive Security - AI joins the Proactive Security Engineering team to execute AI Security Product Engineering within a forward deployed engineering Pod model. This role involves building paved road security controls directly into AI surfaces for consumer, merchant, and Dasher products. Key responsibilities include co-leading the technical roadmap for secure AI products, developing Hardened Product Agents, AI Guardrails, and MCP Gateways, and executing automated vulnerability discovery and remediation. The engineer will partner with Product Engineering, Legal, and Data teams to translate regulatory requirements into practical controls. Required skills include experience with object-oriented languages like Go or Java, expertise in securing LLM or agentic systems, and proficiency in authorization, sandboxing, or untrusted input handling to protect against sophisticated adversaries.
What does a Security Engineer earn?
Median $193000 from 106 postings across 42 companies.
Co-lead the technical direction and roadmap for building secure and responsible AI Security Products.
Build and ship "paved road" security controls like Hardened Product Agents, AI Guardrails, and MCP Gateways.
Embed with product teams to design, build, and deploy security controls for consumer, merchant, and Dasher products.
Execute cross-brand AI-enabled vulnerability discovery and automated remediation to protect against advanced adversaries.
Develop reusable security solutions that enable teams to build secure AI products by default.
Translate security and regulatory requirements into practical engineering controls in partnership with Legal and Data teams.
Mentor earlier career engineers and enforce high standards for Operational Excellence and Software Engineering.
Lead root cause analysis for security incidents and drive long-term roadmaps for remediation.
What we're looking for
10+ years of experience as a Security Product Engineer at an internet scale organization.
Master’s degree in Computer Science, Security Engineering, a related field, or equivalent work experience.
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 like Go or Java to design technical Security Engineering controls.
Experience leading root cause analysis for security incidents and driving long-term remediation roadmaps.
Ability to partner cross-functionally with Product Engineering, Legal, Data, and Security Platform teams to translate requirements into engineering controls.
Exceptional verbal and written communication skills to lead Security Product Engineering across core engineering and product teams.
Python
Go
Java
AWS
GCP
Kubernetes
IaC
Cloud Security
Container Security
Threat Modeling
Identity and Access Control
Data Protection
Security Engineering
AI Security
Automation