Product Manager II, Applied AI

Uber Logo
Uber
161000 - 179000 USD / Year
  • Production
  • FullTime
  • Applications have closed

About The Role Uber Eats is transforming the way local businesses operate, grow, and connect with their customers. Merchants are at the heart of our ecosystem, and we are building the next generation of AI-powered capabilities and solutions to help them seamlessly run and scale their businesses.

As a Product Manager on the Applied AI team , you will be responsible for shaping and delivering AI-driven products that empower merchants with insights, recommendations, automation, and support. You will partner closely with engineering, data science, design, and operations teams to ensure we’re applying cutting-edge AI technologies in practical ways that solve real merchant problems. This is a highly cross-functional role where you will drive both strategy and execution, bringing together user needs, technical capabilities, and business goals.

What The Candidate Will Do

  • Define and deliver AI capabilities that improve merchant operations, growth, and overall experience on Uber Eats.
  • Partner with AI/ML engineers and data scientists to design and ship solutions that leverage advanced ML and Generative AI, from conversational experience to intelligent recommendations
  • Deeply understand merchant needs, turning insights from user research, feedback, and data into product requirements and roadmaps.
  • Establish a shared vision across Applied AI and Merchant Product, building consensus on priorities and driving alignment.
  • Balance innovation with execution by making informed tradeoffs across technical feasibility, user value, and business impact.
  • Measure impact and iterate, using data-driven analysis to improve product performance and inform future investments.
  • Clearly communicate product plans, strategy, and results to stakeholders across technical and non-technical functions, including senior leadership.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Business or a related technical/analytical field.
  • 3 years of product management experience, including delivering successful and innovative AI/ML products.
  • Experience working with applied AI/ML systems and translating technical solutions into intuitive, user-centric products and experience
  • Strong analytical and problem-solving skills, with comfort working in fast-paced, ambiguous environments.
  • Demonstrated ability to lead cross-functional teams, from ideation to launch.

Preferred Qualifications

  • MBA or Master’s degree in a technical or analytical field.
  • Experience building AI/ML-powered products ideally in commerce or marketplaces
  • Familiarity with emerging Generative AI technologies and their applications to business workflows and user experiences
  • Strong customer empathy, with experience conducting B2B or SMB-focused research and translating insights into solutions.
  • Exceptional communication skills, capable of influencing across organizational boundaries.
  • A “driver” personality – constantly pushing toward clarity and delivery, while balancing the need for great collaboration.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year – USD$179,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year – USD$179,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year – USD$179,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year – USD$179,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.