What the Candidate Will Do
- Work very 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
- 5+ years of Product Management experience delivering highly successful ML products. Experience building large-scale AI/ML infra or platform products is highly preferred.
- A computer science or other engineering degree equivalent.
- Thrive in cross-functional environments and work backward from the needs of your customers to create solutions that scale.
- Excellent understanding of MLOps, and now LLMOps, industry trends and best practices. Ideally experience managing open-source projects and communities
Preferred Qualifications
- Exceptionally strong technical background in the AI/ML space. While coding is not required, this is on a team of very techincal Product Managers. You should be confident discussing technical AI/ML topics in depth with all stakeholders, including the engineering team, our platform users, and partners.
- Data-driven decision-making ability and a "driver" personality - constantly pushing toward clarity and delivery while balancing the need for great collaboration.
- 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$174,000 per year - USD$193,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.