About the Role

Are you an AI/ML enthusiast? Does working on AI/ML products excite you? Are you thrilled about building the future of the AI/ML ecosystem at Uber? If yes, read on!

At Uber, ML is extensively utilized across all product lines to deliver a seamless and magical user experience. We use ML to predict EAT (Estimated Time of Arrival) for rides and ETD (Estimated Time of Delivery ) for delivery orders, intelligently match riders with drivers, recommend restaurants and dishes for UberEats users, detect fraudulent transactions, and automate customer support, among other applications.

To enhance the ML dev experience, ensure ML quality, and drive ML adoption and innovation at Uber, the Uber AI Platform team has built Michelangelo, one of the industry’s first end-to-end ML platforms, from the ground up. Michelangelo provides industry-leading tools and capabilities for Uber’s ML developers to train, tune, serve, monitor, and debug ML models at scale. Today, 100% of Uber’s business-critical ML applications and use cases are managed and served on Michelangelo, from classic ML, to deep learning, and generative AI.

To meet the ever-growing and rapidly changing ML needs and better serve our continuously expanding AI/ML community at Uber, we are seeking an experienced and passionate AI Product Manager with strong technical depth, product intuition and entrepreneurial spirit to lead the development and execution of the vision, strategy, and roadmap for some key components of Michelangelo, bringing the platform to the next level.

What the Candidate Will Do

• Work closely with Uber’s ML engineers, applied scientists, data scientists, and software engineers to thoroughly understand Uber’s ML use cases, identify developers’ pain points and opportunities, and gather requirements.
• Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the AI Platform Engineering, TPM, and UX design teams.
• Internal and external stakeholder management, and make tradeoff decisions based on technical and business insights.
• Monitor and measure launched products and feed insights back into the product development process to drive growth.
• Clearly communicate product plans, progress, and results to a spectrum of audiences, from internal stakeholders to customer teams, Uber executives, and external ML communities.

Basic Qualifications

• Bachelors degree in Computer Science or similar.
• 3 years of experience as a Product Manager delivering highly successful ML products. Experience building large-scale AI/ML infra or platform products is highly preferred.
• Strong analytical skills with a data-driven decision-making approach. Capable of analyzing and interpreting data to understand platform user behavior and product performance, and leveraging these insights to drive platform improvements.
• Excellent understanding of MLOps, and now LLMOps, industry trends and best practices.

Preferred Qualifications

• Very strong technical background in the AI/ML space. While coding is not required, you should be comfortable discussing technical AI/ML topics in depth with all stakeholders, including the engineering team, our platform users, and partners.
• Excellent understanding of MLOps, and now LLMOps, industry trends and best practices.
• Experience working with ML/Data platforms such as AWS Sagemaker, GCP Vertex AI, and Databricks.
• Thrive in cross-functional environments and work backward from the needs of your customers to create solutions that scale.
• High attention to detail and proven ability to manage multiple, competing priorities.
• Strong communication skills, both verbal and written.
• Passion for Uber’s mission, the company’s technology-driven culture, and a deep desire to grow and learn!

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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.

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.