Intern - Product Management

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.

About The Organization 

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.

Who Are We 

Warner Bros. Discovery's Enterprise Data, AI & Strategy (EDAIS) organization enables business and technology teams to use data and artificial intelligence to improve decisions, automate work, and create new products and experiences. Our Data & AI Product Management function translates enterprise priorities into outcome-led products that are valuable to users, feasible to deliver, scalable across teams, and governed responsibly.  

Your New Role 

The Product Manager - Data & AI will own the end-to-end lifecycle of data, analytics, machine learning, and generative AI products—from opportunity discovery and product definition through delivery, launch, adoption, and value realization. The role works at the intersection of business, product, data, design, engineering, architecture, and governance to convert complex needs into a clear roadmap and measurable outcomes.  Enterprise Data & AI investments often underperform when use cases remain project-led, requirements are unclear, priorities shift, or adoption and value are not actively managed. A dedicated product manager creates sustained accountability for user needs, business outcomes, roadmap choices, delivery trade-offs, responsible AI controls, and post-launch performance—helping the organization move from isolated solutions to reusable, scalable Data & AI products. 

In this role, you will: 
•Define and maintain the product vision, strategy, roadmap, and release priorities for assigned Data & AI products, aligned to enterprise goals and user needs.  •Lead structured discovery with business stakeholders and end users to clarify problems, user journeys, decision points, data requirements, constraints, and measurable outcomes.  
•Translate opportunities into product requirements, user stories, acceptance criteria, process designs, and a prioritized backlog; make transparent trade-offs across value, effort, risk, and time.  
•Partner with Data Science, Data Engineering, ML Engineering, AI Platform, UX, Architecture, Security, Privacy, Legal, and Responsible AI teams to deliver secure, scalable, and compliant products.  
•Define product success measures covering adoption, user experience, data or model quality, reliability, cost, risk, operational performance, and business value; use evidence to refine priorities.  
•Drive stakeholder governance through clear decision forums, roadmap reviews, dependency management, risk escalation, executive communication, and disciplined status reporting.  
•Plan launches and adoption, including pilots, user testing, communications, training, support readiness, feedback loops, benefit tracking, and continuous product improvement.

Key Skills 
• Product management: Strong product discovery, strategy, roadmap, prioritization, backlog, release planning, and lifecycle management capability.  
• Data & AI literacy: Working knowledge of data platforms, analytics, data products, ML, GenAI, model lifecycles, and responsible AI.  
• Business analysis and value: Ability to frame ambiguous problems, build business cases, define outcomes, assess feasibility, and connect decisions to measurable impact.  
• Agile delivery: Experience with Agile or hybrid delivery, including user stories, acceptance criteria, sprint planning, and dependency management.  
• Stakeholder management: Ability to influence senior stakeholders, resolve competing priorities, facilitate decisions, and maintain alignment in a matrixed organization.  
• Analytics and experimentation: Comfort with product analytics, dashboards, user feedback, experimentation, KPI tracking, and evidence-based decisions.  
• Communication and execution: Excellent written, verbal, and presentation skills, with strong ownership, structured thinking, and execution discipline. 

Key Domain 
• Data Engineering: scalable ETL/ELT pipelines and transformation workflows built with Python, PySpark, and SQL. 
• Cloud Infrastructure: data lake and warehouse environments across AWS S3, Redshift, and Snowflake. 
• Platform Automation: orchestration, validation, and monitoring using Apache Airflow, AWS Glue, and CI/CD pipelines.  

Core Elements

• Duration: 6 Months

• Eligibility: - MBA/PGDM, M.Tech, M.E., M.S., M.Sc., or equivalent—in Product Management, Business, Data Science, Analytics, Computer Science, Information Systems, Engineering, or a related field.

- 3–4 years of relevant experience in product management, business analysis, consulting, digital transformation, or Data & AI delivery within a large enterprise setup.

- Exposure to data, analytics, AI/ML, GenAI, automation, or digital products. Familiarity with Jira/Azure DevOps, Confluence, cloud, data platforms, or product analytics tools is advantageous.

• Date of joining: Apr 2027

Key Deliverables

• A clear product vision, target users, business case, outcome measures, and prioritized 12–18 month roadmap.

• Validated discovery outputs, product requirements, acceptance criteria, and an actively governed delivery backlog.

• Successful pilots and production launches with adoption, operational readiness, feedback, analytics, and governance controls.

• Regular product reviews covering adoption, quality, cost, risk, value, lessons learned, and roadmap decisions.

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.

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.