Sr Product Mgr I

The Walt Disney Company; Santa Monica (CA); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

The Walt Disney Company in Santa Monica, CA is seeking a Senior Product Manager I for Disney Entertainment and ESPN Product & Technology. You will drive ad platform experiments, partner with data scientists and engineers, and shape viewer experiences and revenue outcomes.

Responsibilities include end-to-end experiment launches, designing testable plans, and communicating insights to executives while coordinating across multiple teams and platforms.

Formación

• 5+ years of product management experience in data-driven environments.
• Bachelor's degree in a related field.
• Strong analytical and problem-solving skills.
• Experience across Engineering, Data Science, and Analytics teams.
• Experience with experimentation lifecycle and AI tooling.
• Excellent communication skills.

Responsabilidades

• Advance and refine ad experience and optimization through experimentation.
• Plan and prioritize viewer and supply optimization roadmap using learnings.
• Own end-to-end launch of experiments from hypothesis to results.
• Translate business questions into testable experiment designs with plans.
• Coordinate cross-functional execution with Engineering, Operations and Business.
• Synthesize results into narratives for leaders and executive readouts.
• Operationalize experimentation processes and tooling for velocity.
• Identify opportunities to improve lever efficiency, UX, and monetization via experimentation.
• Influence prioritization with data-backed recommendations.

Conocimientos

Product management

Analytical skills

Cross-functional collaboration

Experimentation

AI tools usage

Communication

Educación

Bachelor's degree in related field

Descripción del empleo

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Sr Product Mgr I

Job ID 10162576 Location Santa Monica, California, United States Business Disney Entertainment and ESPN Product & Technology Date posted Oct. 16, 2026

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

Our teams merge technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry‑leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

As a Senior Product Manager I within the Ad Platform technology team, you will be responsible for maximizing insight velocity to inform product feature optimization and to vet early stage opportunities across a wide variety of ad initiatives.

As a Senior Product Manager I within the Ad Platform technology team at DEEP&T, you will help craft and optimize key elements of our ad experience through experimentation. This role will own critical parts of the experimentation lifecycle—from problem definition and experiment design through launch coordination, results interpretation, and executive communication. Given the dual focus of shaping viewer experience and revenue outcomes, tight cross‑functional coordination is essential across Data Science, Engineering, Product Insights, Operations stakeholders. Join us as we leverage data‑backed insights to elevate our viewer‑first ad experience.

What You’ll Do

Advance and refine our ad experience and ad optimization vision by exploring new features through experimentation and achieving performance objectives.

Join a team of Product and Engineers to plan and prioritize our viewer and supply optimization roadmap by connecting experimentation learnings to longer‑term product strategy.

Own end‑to‑end launch of experiment initiatives from hypothesis definition to results interpretation and presentation.

Partner with Data Science and Analytics teams to translate business questions into testable experiment designs and clear evaluation plans.

Coordinate cross‑functional execution with Engineering, Operations and Business, to ensure experiments launch on time with high quality.

Synthesize experiment results into clear narratives and recommendations for product and business leaders, including executive‑level readouts.

Help operationalize experimentation processes, documentation, and tooling to improve velocity and clarity across the organization.

Proactively identify new opportunities to improve lever efficiency, user experience, and monetization outcomes through experimentation.

Influence prioritization and decision‑making across fleets by framing clear, data‑backed recommendations.

What We’re Looking For

5+ years of product management experience, preferably in data‑driven, experimentation‑heavy environments and a Bachelors degree in a related field of study.

Strong analytical and problem‑solving skills, with the ability to reason about tradeoffs using quantitative and qualitative inputs.

Experience working cross‑functionally with Engineering, Data Science, and Analytics teams.

Hands‑on experience throughout lifecycle including experiment sequencing strategy, effective treatment & control definition, communicating results, production rollout, and holdout group strategy.

Experience leveraging AI tools to conduct and validate quantitative analysis

Highly truth‑seeking and effective in selecting north star KPIs, assessing authenticity of analyses, and testing rationale of data narratives to surface effective next‑steps.

Unwavering bias for execution and impeccable follow‑through.

Excellent written and verbal communication skills, including the ability to explain complex results to non‑technical audiences.

Preferred Qualifications