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Uber's Engineering Security organization runs several high-volume, high-judgment programs: design-time AI security and privacy reviews, a security champions network, AI red teaming, AI agent governance, and the standards that define how AI is built and used inside the company. We're hiring a Sr. TPM to operate across these programs, raise the bar on execution, and scale them through automation. This role exists because these programs intersect in ways no single workstream owns. A red team finding should sharpen the next design review. A new guardrail should be measured for both security value and developer friction. A standard should be written so the people who must apply it can actually apply it. Connecting these threads and turning that visibility into measurable improvements is the core of the job. You'll work in an AI-native environment. We've built internal agents that handle routine triage, assignment, and reporting. You'll be expected to use it daily, identify where it can be extended, and partner with engineering to keep it accurate over time. Comfort building and improving AI workflows is a strong differentiator. This is a high-visibility role with a broad surface area across security engineering, AI governance, and platform programs. The TPM in this seat partners directly with senior security and engineering leaders and shapes how AI is governed across Uber's engineering organization.
Job Responsibility:
AI agent oversight
Security & privacy review program operations
Security champions network
Cross-program analysis and improvement
AI-assisted execution
Executive reporting
Requirements:
4+ years as a TPM, Program Manager, or equivalent in a software or technology environment
Strong analytical skills: you see patterns in data and operational signals that others miss, and turn those observations into action
Excellent written and verbal English
Strong follow-through. You drive things to completion across multiple stakeholders without needing to be reminded of status