About the Role
Artificial Intelligence is at the heart of Uber’s products: Machine Learning, Deep Learning, Computer Vision and Generative AI power many user experiences in the Eater, Rider and Earner apps, as well as efficient marketplace and pricing algorithms, powerful safety mechanisms as well as personalization.
The Applied AI team at Uber is a multidisciplinary team of ML Engineers, Applied Scientists, Researchers, Backend Engineers, Mobile Engineers and AI Product Managers responsible for building compelling AI-driven user-facing experiences, and leading innovation in Computer Vision, Natural Language Processing, Personalization & Recommendations, Marketplace Optimization and Generative AI.
As an PM focusing on Core Personalization, you will be driving innovative AI-driven product experiences in close partnership with a variety of product teams across Uber, while building the foundation personalization layer that unifies user understanding & experiences across business verticals.
What the Candidate Will Do
- Develop, articulate and execute a bold and visionary product strategy and roadmap for AI-driven personalization products and experiences that supports Uber’s unified agent context, retrieval and ranking optimization, analytics and more
- Work closely with cross-functional teams to define product requirements (PRDs), prioritize features, and deliver high-quality AI products that meet user needs and drive business objectives
- Collaborate with engineering, data science and design teams to deliver high-quality, well-designed products that meet user needs and exceed business objectives
- Stay up-to-date with the latest AI industry trends and emerging technologies and be an AI thought leader and drive innovation across Uber
Basic Qualifications
- 5+ years of true technical Product Management experience delivering highly successful AI products at scale
- A Computer Science or Engineering degree (preferrable Masters degree)
- Strong technical background in AI/ML and GenAI space. You should feel comfortable discussing deep technical topics with engineering teams and the platform users. This includes AI/ML systems and their trade-offs and designing evals.
Preferred Qualifications
- Previous experience as an ML Engineer or Data Scientist highly preferred.
- Ability to thrive in cross-functional environments and work backward from the needs of your customers to build solutions that scale.
- Data-driven decision-making ability and a "driver" personality for pushing toward clarity and balancing the need for great collaboration.
- High attention to detail and proven track record to multi-task and manage competing priorities.
- Very strong communication skills, both written and verbal.
- A passion for Uber's mission and technology-driven culture, along with a deep desire to grow and learn!
For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About UsReady 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.
Skills Required
- 5+ years of technical Product Management experience delivering successful AI products at scale
- Bachelor's or master's degree in Computer Science or Engineering
- Strong technical background in AI, machine learning, and generative AI
- Ability to discuss advanced AI/ML systems, trade-offs, and evaluation design with engineering teams and platform users
- Previous experience as an ML Engineer or Data Scientist
- Ability to work effectively in cross-functional environments and build scalable customer-focused solutions
- Data-driven decision-making and ability to drive clarity while collaborating effectively
- Strong attention to detail and ability to manage competing priorities
- Very strong written and verbal communication skills
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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