Uber Product Manager II Comms AI Platform 

United States, West Virginia 

288199179

What the Candidate Will Do

• Work with our different Product and Operations teams to understand and define use cases that can leverage GenAI across multiple comms channels.
• Build LLM, NLP and other ML systems to understand the context and intent of conversations between different personas (Rider-Driver, Eater-Courier, etc.)
• Understand how our end-users interact with different channels (Voice, Chat, SMS, Email).
• Understand Uber’s core product (app and web) and the nuances of each channel to make sure our platforms can deliver the best customer experiences.
• Use data to prioritize high impact initiatives across multiple stakeholders.
• Drive a cross-functional team of Engineers, Data Scientists and Analysts to set qualitative objectives and quantitative goals and ship quality products.
• Develop a vision and roadmap, plan deliverables, design, and launch products.
• Clearly communicate plans, insights, data, and results and evangelize the platforms to executives, other product teams, cross-functional teams such as other product teams, operations, finance.
• Monitor and measure launched products and use data for product refinement.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering with at least 4 years of experience in a Product Management role building high impact scalable platforms focused on ML solutions in the communications space.
• Experience with GenAI models and AI agents landscape. Ideally will have an understanding of how different communication channels (Email, Push, SMS, Voice, Chat) work.
• Experience with working with cross functional teams such as Engineering, Applied Science and Analysts.

Preferred Qualifications

• Master’s degree in C.S. / Engineering and / or MBA.
• Strong hypothesis building and problem solving skills. Is comfortable getting their hands dirty with large amounts of data and running independent analysis. Should enjoy and succeed at working with PhD level scientists.
• Has prior experience prioritizing projects across multiple stakeholders based on business impact, creating product roadmaps, and communicating product vision and results to leadership and stakeholders.
• Basic understanding of technologies like Kafka, Hadoop, or Hive and iOS / Android ecosystem.
• A good understanding of NLP, ML systems and building use cases on comms channels.
• Understanding of Chatbots and Conversational AI and how to create an experimentation framework to solve problems.
• Grit, drive and a strong feeling of ownership coupled with collaboration.
• Demonstrated experience working collaboratively in cross-functional teams Passion for learning new technologies, domains, and challenging the status quo.

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.