Staff Program Manager, Tech

About the Team

Uber AI Solutions combines technology, operations, and human intelligence to deliver solutions across AI/ML innovation, app testing, localization and internationalization, map editing, digitization programs, and data collection. Many of the problems we tackle are bespoke, market-level challenges that require novel solutions. This is a highly entrepreneurial environment where first-principles thinking is encouraged and every aspect of the solution—from technology and workflows to marketplace design and operations—can be reimagined and improved.

This opportunity aligns closely with Uber’s core strength: building and operating marketplaces that connect flexible workers with demand. By combining our marketplace expertise, technology, and operational excellence, we are creating new ways for enterprises to accelerate their AI, data, and product development journeys while generating flexible earning opportunities around the world.

Within this vision, audio data collection is a strategic growth area. Projects spanning Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Text (STT), and Natural Language and Multimodal technologies (NLTM) present unique challenges in quality, scale, workforce management, and operational execution. Our team is building the technology and operational capabilities required to solve these challenges globally.

  About the Role

As a Staff Program Manager, you will own large-scale audio data collection programs supporting some of the world's most advanced AI applications. You will translate customer requirements into scalable operational solutions, influence product and engineering roadmaps, drive adoption across thousands of freelancers, and ensure delivery against quality, timeline, and financial objectives.

You will serve as the primary point of contact for customers on program delivery, leading discussions on execution strategy, progress, risks, trade-offs, and outcomes. You will work across multiple countries, languages, and customer segments, partnering closely with Operations, Product, Engineering, Legal, Policy, and Sales teams to deliver complex programs at scale.

Success in this role requires strategic thinking, operational rigor, strong executive communication, and a willingness to dive deep into execution. Nothing great is built without getting your hands dirty, does it? For those excited by zero-to-one building, this is a rare opportunity to create outsized impact at both startup and global scale while helping enterprises build next-generation AI technologies.

---- What You Will Do ----

1. Own the end-to-end delivery and growth of strategic audio data collection programs.
2. Build and scale new collection capabilities, workflows, and operating models across geographies and use cases.
3. Influence product and engineering roadmaps to enable scalable and efficient program execution.
4. Lead complex, multi-country programs while meeting quality, timeline, compliance, and financial goals.
5. Develop strategies to engage and activate global freelancer networks.
6. Design scalable processes, governance mechanisms, and operational playbooks.
7. Establish and uphold standards for quality, privacy, trust, and compliance.
8. Drive alignment across Operations, Product, Engineering, Legal, Policy, Sales, and Marketplace teams.
9. Serve as a trusted advisor to customers and executive stakeholders on program strategy and delivery.
10. Identify new opportunities and help shape the future of Uber's data collection business.

---- What You Will Need ----

1. 15+ years of experience leading complex programs, operations, consulting engagements, or business initiatives.
2. Experience in management consulting coupled with hands-on implementation, operational leadership, or business-building experience.
3. Demonstrated success building and scaling zero-to-one capabilities, products, businesses, or operational models.
4. Proven ability to translate ambiguous customer or market requirements into scalable solutions.
5. Experience influencing product and engineering roadmaps to solve operational challenges at scale.
6. Experience leading large, distributed programs across multiple countries and geographies.
7. Strong program leadership, stakeholder management, and execution skills.
8. Exceptional written, verbal, and executive communication skills.
9. Strong analytical and problem-solving capabilities with a data-driven approach.

---- Preferred Qualifications ----

1. Experience in AI/ML data operations, data collection, data annotation, or human-in-the-loop systems.
2. Experience working with audio, speech, multimodal, sensor, mapping, or other data-intensive programs.
3. Experience in marketplace, crowdsourcing, logistics, or other distributed workforce environments.
4. Professional certifications such as PMP, PgMP, Prince2, Scrum, or equivalent.
5. Proficiency in one or more additional languages and experience working across global markets.

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Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.