Job Posting Title:

Staff Product Manager, AI Platforms

Req ID:

10140305

Job Description:

Department Description:

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.

Team Description:

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.

What You’ll Do:

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

Required Qualifications & Skills:

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

Preferred Qualifications:

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

Required Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH

The hiring range for this position in Seattle, WA is $148,700.00 - $199,400.00 per year and in Burbank, CA is $141,900 - $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology

Job Posting Primary Business:

Cloud & Data Transformation Engineering

Primary Job Posting Category:

Product Management Solutions

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Seattle, WA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 820 S Flower St

Date Posted:

2026-02-05