What the Candidate Will Do
- Define and execute the Rider ML product roadmap and strategy, focusing on personalization and discovery experiences that enhance the rider journey.
- Collaborate with machine learning engineers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
- Develop scalable systems that help riders easily book trips when they have an immediate need, while also surfacing personalized recommendations for future planning or unmet needs.
- Partner with other product teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
- Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber continues to lead in innovation.
Basic Qualifications
- Minimum of 5 years Product Management experience delivering innovative ML products.
- Proven experience working with machine learning systems at scale in a production environment.
- Proven ability to collaborate closely with engineering teams, lead technical direction, and communicate a broader vision effectively.
- Strong platform experience, with a track record of synthesizing diverse use cases into cohesive, scalable solutions in collaboration with internal partners.
- Undergraduate degree in Computer Science or a related field.
Preferred Qualifications
- Demonstrated ability to align technical investments with high-impact use cases and broader business objectives.
- Experience crafting an ML-first vision, identifying machine learning needs across multiple products, and proposing solutions that serve long-term user and business needs.
- Experience in consumer-facing products, with a focus on personalization, content recommendation, and understanding user context to create tailored experiences.
- Extensive experience in data analysis and experimentation, with the ability to craft and execute multivariate tests to inform product direction.
- Proven ability to navigate a diverse set of opinions among cross-functional teams, synthesize different perspectives, and drive decisions effectively.
- Strong communication skills, with the ability to articulate complex ideas clearly to both technical and non-technical audiences.
- Advanced degree (Master’s or PhD) in Computer Science, Statistics, or other quantitative fields is a bonus.
For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
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 .