Senior Staff Product Manager - Technical (AI/ML), Data & Audience Platform Team, Hyderabad

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.

Senior Staff Product Manager – Technical (Data & Audience Platform Team), Hyderabad

About Warner Bros. Discovery:

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.

Roles & Responsibilities:

• Shape AI product strategy and roadmap priorities across DAP platform areas.
• Evaluate AI/ML opportunities through value, feasibility, cost, data readiness, governance, and reuse lenses.
• Write AI-focused PRDs, product briefs, model/agent behavior requirements, evaluation criteria, and launch readiness requirements.
• 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 orchest…