Privacy Technologist II - AI

About the Role

Uber's Engineering Security organization runs technical privacy reviews for product and engineering teams and operates internal privacy tooling that helps engineers handle sensitive data safely. We review thousands of engineering design documents a year and are building AI-powered systems to scale that process.

You'll read complex and high-impact architecture documents daily, ask the hard follow-up questions that surface real privacy risks, and write findings engineers can act on. You'll also own the roadmap for our anonymization tooling and partnering with the engineering team that builds it. And as we automate more of our review pipeline with AI, you'll drive the privacy side of technical reviews and improve our systems.

This role suits someone with a privacy engineering background who wants broad ownership across reviews, tooling, and AI  and who's energized by building the processes and systems that make privacy scale.

About the Role

Uber's Engineering Security organization runs technical privacy reviews for product and engineering teams and operates internal privacy tooling that helps engineers handle sensitive data safely. We review thousands of engineering design documents a year and are building AI-powered systems to scale that process.

You'll read complex and high-impact architecture documents daily, ask the hard follow-up questions that surface real privacy risks, and write findings engineers can act on. You'll also own the roadmap for our anonymization tooling and partnering with the engineering team that builds it. And as we automate more of our review pipeline with AI, you'll drive the privacy side of technical reviews and improve our systems.

This role suits someone with a privacy engineering background who wants broad ownership across reviews, tooling, and AI  and who's energized by building the processes and systems that make privacy scale.

What You Will Do

• Perform technical privacy reviews of engineering design documents. Dig into architecture details, ask targeted follow-up questions, identify privacy risks, and write clear recommendations that engineering teams act on.
• Product-manage Uber's anonymization pipelines. Set roadmap priorities, evaluate model options, and partner with the engineering team that builds the tooling.

• Evaluate and improve AI-powered review tooling. Review AI-generated privacy findings, calculate and report metrics, identify gaps the models miss, and contribute to the knowledge bases and feedback loops that make the system more accurate over time.

• Communicate privacy risks and recommendations to leadership, TPMs, and engineering teams in formats those audiences can act on.

• Help establish review templates, standards, and reusable artifacts so privacy reviews and tooling decisions scale beyond your direct involvement.

Basic Qualifications

• 3+ years working in privacy engineering, privacy red teaming, or as a privacy-focused product manager

• Ability to read engineering design documents, understand system architecture and data flows, and ask detailed technical questions

• Experience managing a product roadmap for technical tooling

• Strong written and verbal English: you produce privacy guidance and risk summaries that both engineering and non-engineering audiences can act on

• Understanding Agentic AI privacy risks

Preferred Qualifications

• CIPT or AIGP certification

• Hands-on experience evaluating AI or ML models for privacy use cases

• Working knowledge of anonymization techniques (face detection, data masking, pseudonymization)

• Experience operating or supporting privacy review programs at scale

• Familiarity with GenAI privacy risks and LLM-based tooling

• Comfort with lightweight scripting (Python, bash) for evaluation work

• Perform technical privacy reviews of engineering design documents. Dig into architecture details, ask targeted follow-up questions, identify privacy risks, and write clear recommendations that engineering teams act on.

• Product-manage Uber's anonymization pipelines. Set roadmap priorities, evaluate model options, and partner with the engineering team that builds the tooling.

• Evaluate and improve AI-powered review tooling. Review AI-generated privacy findings, calculate and report metrics, identify gaps the models miss, and contribute to the knowledge bases and feedback loops that make the system more accurate over time.

• Communicate privacy risks and recommendations to leadership, TPMs, and engineering teams in formats those audiences can act on.

• Help establish review templates, standards, and reusable artifacts so privacy reviews and tooling decisions scale beyond your direct involvement.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.