Staff Product Manager, AI Platforms

The Walt Disney Company•Burbank, WA

About The Position

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. As a Staff Product Manager, you own the end-to-end product vision for AI-powered platforms and capabilities, from problem framing through delivery, adoption, and continuous optimization. You lead with why, think big, and translate complex AI capabilities into real, measurable business and customer outcomes. You will operate at the intersection of machine learning systems, cloud platforms, business strategy, and human-centered design, guiding teams through the unique ambiguity, risk, and opportunity that AI introduces. This role requires deep technical fluency, strong product judgment, and the ability to steward responsible AI innovation at scale.

Requirements

A minimum of 7 years of experience in technical product management.
Minimum of 2 years of product management experience in building and launching AI products.
Good understanding of the Generative AI, Agentic development process and ML model lifecycle.
Able to define priorities based on the OKRs defined by leadership
Ability to define product success KPIs measuring outcomes and drive business success.
A minimum of 5 years cloud experience (AWS, Google, Azure) preferred
Proven experience setting strategic vision, large scale application/data deployments, managing software or data development lifecycles, and resolving issues that impact design, product success, or address future technologies
Ability to work with large data sets for analysis and interpretation of business results
Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach
Ability to influence, take calculated risks, make sound business decisions, and resolve concerns as needed
Excellent interpersonal, business development, and communication skills (both written & verbal for both technical and non-technical audiences)
Positive can-do partnership demeanor while working with cross-functional teams and business units
Must be detail oriented, self-organized, and capable of simultaneously prioritizing multiple efforts
Proven ability to develop and deliver presentations geared for Senior and Executive Management
Ability to resolve conflict
Prioritizes work effectively, making tradeoffs as necessary
Ability to synthesize robust and cost-effective technical solutions against customer requirements providing buy versus build decision making
Must be detail oriented and self-organized/motivated
Ability to thrive in a dynamic, collaborative, and fast paced environment
Models desired company cultural attributes and inclusive behaviors
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Nice To Haves

Experience using Azure DevOps for work item management
Certification in one or more cloud providers (AWS, Google, Azure)
Experience launching products built with AI frameworks

Responsibilities

Define and own AI product strategy and vision, balancing technical feasibility, business value, compliance, and responsible AI principles
Performs market and industry analysis of trends and conditions for products, platforms, and features
Translate machine learning, GenAI, and agentic system capabilities into clear product requirements, roadmaps, and MVPs
Partner deeply with engineering and data science to guide model selection, feature engineering, evaluation criteria, and deployment strategies
Drive data-informed decision-making using experimentation, model metrics, and customer signals
Establish and own success metrics for AI products
Lead iterative experimentation and continuous optimization
Anticipate and manage AI-specific risks
Serve as a translator between technical and non-technical stakeholders
Engage customers and partners to uncover unarticulated needs
Champion platform thinking across AI services
Influence organizational best practices for AI product delivery
Experience operating within multi-cloud AI environments
Comfort engaging at near-engineering depth