Product Manager, Comms AI Platform
Apply NowCompany: Uber
Location: San Francisco, CA 94112
Description:
About the Role
The Communications Platforms team enables Uber to engage with its customers across all channels, regions, business lines, and end-users through billions of real-time, intelligent, personalized interactions each year.
Our team builds the platforms that allow teams within Uber to send email, sms, push, and in-app messages and enable Uber users to communicate with each other via chat and voice capabilities. So whether it's an email, push notification or sms you receive from us about your ride or delivery or whether it's the phone and chat communications you have with your driver and courier, our platforms ensure each message gets delivered reliably.
Recently, we have expanded to build an intelligence layer to understand the context and intent of a conversation and build an actioning and decisioning framework that allows platforms across Uber to protect and enhance the user experience across use cases and we are looking for a dedicated PM to focus efforts in this area.
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 andhow 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.
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](https://www.uber.com/careers/benefits).
Uber is proud to be an Equal Opportunity/Affirmative Action 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](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
The Communications Platforms team enables Uber to engage with its customers across all channels, regions, business lines, and end-users through billions of real-time, intelligent, personalized interactions each year.
Our team builds the platforms that allow teams within Uber to send email, sms, push, and in-app messages and enable Uber users to communicate with each other via chat and voice capabilities. So whether it's an email, push notification or sms you receive from us about your ride or delivery or whether it's the phone and chat communications you have with your driver and courier, our platforms ensure each message gets delivered reliably.
Recently, we have expanded to build an intelligence layer to understand the context and intent of a conversation and build an actioning and decisioning framework that allows platforms across Uber to protect and enhance the user experience across use cases and we are looking for a dedicated PM to focus efforts in this area.
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 andhow 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.
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](https://www.uber.com/careers/benefits).
Uber is proud to be an Equal Opportunity/Affirmative Action 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](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.