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 -


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