Uber Senior Product Manager Generative AI 

United States, West Virginia 

76265018

Key Responsibilities:

• Product Leadership : Define and execute the product strategy and roadmap for AI-powered customer support assistants or AI platforms, ensuring alignment with company objectives.
• Customer Focus: Advocate for the end-user by integrating design thinking and user research, ensuring AI products deliver delightful experiences.
• Execution: Deeply engage with engineering teams to align and drive the team to achieve ambitious goals, maintaining high standards in product development and execution.
• Data-Driven Decisions : Use data to prioritize features, make informed trade-offs, and continuously improve product performance.
• Cross-Functional Collaboration: Work closely with engineering, design, and data science teams to develop scalable and reliable AI solutions—lead investments in research, prototyping, and experimentation.
• Executive Communication: Present clear and compelling progress updates to senior leadership, aligning stakeholders and securing support.

Basic Qualifications

• Experience: 5+ years of product management experience, with at least 2 years focused on AI-driven products, especially customer-facing AI assistants or AI co-pilots.
• Technical Expertise: Deep understanding of AI/ML technologies, particularly in deploying and fine-tuning LLMs. Experience working closely with machine learning engineers to iterate on models, improve accuracy, and reduce issues like hallucinations. Familiarity with data pipelines, model training, and AI/ML infrastructure is essential.
• Proven Track Record: Demonstrated success in taking AI products from concept to launch, focusing on solving real customer problems—experience in managing the lifecycle of AI products.
• Communication: Exceptional ability to articulate complex AI concepts and product strategies to various audiences, from engineers to senior executives. Experience in crafting executive-level presentations that convey product vision, progress, and business impact.

Preferred Qualifications:

• Education: A degree in Computer Science, Engineering, or a related field. Advanced degrees are a plus (Esp in AI/ML).
• Design Thinking: Experience with user-centered design methodologies, including user research and iterative testing.
• Data Depth : Expertise in data analytics to inform product decisions and validate hypotheses.
• Startup Mentality: Comfortable with ambiguity, making fast-paced decisions, adapting to changes, and able to manage multiple priorities under pressure.

For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.