Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com.
Meet our team
The Data and Audience Platform team sits within the Data & Analytics organization in WBD's Global Tech division. We build the data platform behind our streaming services and content businesses - the pipelines, data lakes, and serving infrastructure that turn billions of events into audience insights, personalization, and intelligent products.
About the Role
The Senior Staff Product Manager-Tech, AI/ML Roadmap and Platform Strategy, will define and drive the Data & Audience Platform (DAP) AI roadmap across predictive ML, GenAI, agentic workflows, AI-enabled analytics, data activation, and AI-native platform capabilities. This role is intentionally AI-centric: it exists to elevate DAP from a data and analytics platform organization into a product-led AI enablement function that identifies the highest-value AI opportunities, chooses the right technologies, and converts experimentation into durable business outcomes.
This role will be accountable for disciplined AI product strategy: selecting the right problems, validating that the newest technology is actually the best fit, defining measurable business value up front, and ensuring platform investments are reusable, governed, cost-aware, and scalable. The role will work across DAP, engineering, analytics, data science, architecture, product, operations, privacy/legal, AI governance, and senior leadership to make AI investments actionable, safe, and outcome driven.
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- Partner with engineering, data science, and architecture to compare model, platform, vendor, and implementation tradeoffs.
- Define KPIs and decision frameworks that connect AI outputs to business outcomes.
- Run AI roadmap, prioritization, value review, and post-launch measurement forums.
- Translate complex AI/ML concepts into clear executive narratives and actionable decisions.
- Identify when AI work should be standardized as a shared platform capability versus delivered as a bespoke solution.
- Work with cross-functional teams to intake, define, identify risks, and schedule work to develop key features.
- Formulate a point of view on how proposed features align with business goals and our tech strategy.
What to Bring:
- 12+ years of product management, technical product management, AI/ML product strategy, data platform, analytics, or related experience.
- Deep experience defining and delivering AI/ML, GenAI, data platform, customer intelligence, analytics, activation, or enterprise platform products at scale.
- Strong working knowledge of AI/ML product concepts including model lifecycle, experimentation, model evaluation, MLOps, data quality, governance, semantic layers, feature/data products, and post-launch performance measurement.
- Practical fluency in modern AI patterns such as LLMs, RAG, agentic systems, AI orchestration, prompt and agent lifecycle management, human-in-the-loop workflows, and AI observability.
- Demonstrated ability to set product vision and direction across multiple teams and highly ambiguous technical domains.
- Strong ability to evaluate technology tradeoffs across capability, quality, scalability, privacy, security, cost, maintainability, and business value.
- Excellent executive communication skills with the ability to translate technical AI concepts into clear decisions, narratives, and value cases.
- Proven ability to influence without authority across engineering, architecture, data science, TPM, analytics, operations, business, governance, and senior leadership teams.
- Track record of delivering measurable customer, business, operational, or platform impact from technical product investments.
The Nice to Haves
- Experience with streaming media, digital video, Customer 360, personalization, recommendations, content intelligence, advertising analytics, audience activation, commerce analytics, marketing analytics, or global platform products.
- Experience with AI governance, responsible AI, model risk review, privacy/security requirements, or compliance needs for AI-powered products.
- Experience creating scalable intake, prioritization, value management, and post-launch measurement mechanisms for AI portfolios.
- Experience with AI cost management, cloud/data platform FinOps, model inference cost tradeoffs, vendor evaluation, or build/buy/reuse decisioning.
- Experience mentoring senior PMs / PM-Ts and raising product craft across a matrixed organization.
What We Offer:
- A Great Place to work.
- Equal opportunity employer
- Fast track growth opportunities
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
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