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DoorDash is seeking a Senior Intelligence Analyst to lead the analytical function of its Protective Intelligence program. You will conduct high‑complexity investigations into threats and insider risks, perform behavioral threat assessments, and produce intelligence for executive protection decisions across the business.
The role requires fluency with data schemas, collaboration with engineering, and the ability to translate findings into clear, concise reports for senior leadership.
DoorDash's Protective Services function operates at the intersection of executive protection, residential security, protective intelligence, threat management, and executive cybersecurity across a three-brand global enterprise covering DoorDash, Deliveroo, and Wolt. The Protective Intelligence function is the analytical engine of the program. It runs a real-time AI-enabled threat detection pipeline that surfaces threatening content across platform support channels, monitors open-source and social media environments for signals that never enter the platform, produces intelligence products that drive executive protection and travel security decisions, and builds the threat profiles that inform how the program allocates its resources. The work is technically enabled, analytically demanding, and operationally consequential.
We are hiring a Senior Intelligence Analyst to lead the analytical function of DoorDash's Protective Intelligence program. This role combines high-complexity investigations with strategic intelligence production, providing the analysis that informs executive protection operations, travel security, physical security, and business risk decisions. You will lead complex investigations into threats and concerning behavior, conduct behavioral threat assessments using structured professional judgment methods, produce high-level intelligence products, and deliver intelligence that enables informed security decisions across the business.
The detection pipeline that feeds the Protective Intelligence function is built on Snowflake data infrastructure, integrated with an AI-based detection engine, and routed through a case management platform. The Senior Intelligence Analyst does not build or maintain that infrastructure. But they need to understand it well enough to evaluate what it is capturing, identify where it has gaps, and direct analytical work accordingly. You do not need to be a data engineer. You need to be able to read a data schema, understand what a query is returning, and have an informed conversation with the engineers who build the pipeline about whether the detection logic is catching what it should. That fluency is what allows the analytical function to drive the technical function, rather than the other way around.