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Product Manager

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: Nbcuniversal
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Business & Operations
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 110000 - 145000 USD Yearly USD 110000.00 145000.00 YEAR
Job Description & How to Apply Below
  • Business Segment:
    Operations & Technology
  • Compensation: USD 110,000 - USD 145,000 - yearly
Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service.

We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, Dream Works Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood.

NBCUniversal is a subsidiary of Comcast Corporation. Visit  for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking an experienced and motivated Technical Product Manager to join the AI Content and Media Product team within Operations & Technology. This role sits at the intersection of machine learning systems, large‑scale media workflows, metadata standards, and enterprise integrations, translating complex technical capabilities into scalable, production‑ready products used across NBCUniversal.

This is a hands‑on senior individual contributor role that combines strong product judgment, technical fluency, and execution. The role partners closely with Engineering, Data Science, Program Management, and business stakeholders to ensure your product delivers clear, reliable value aligned to organizational goals.

Responsibilities:

  • Product Development
    • Collaborate with cross‑functional teams including Engineering, Data Science, Program Management, Product, and Scrum to scope, develop, and deliver GenAI‑powered product capabilities
    • Develop a deep understanding of stakeholder workflows and business needs to define clear, actionable product requirements and user stories
    • Own one or more defined product areas, driving work from discovery through delivery and iteration
    • Partner with cross‑functional teams to define and maintain an outcome‑based roadmap grounded in customer insights, technical constraints, and business priorities
    • Conduct product testing to validate functionality, accuracy, and performance, and support demos and product reviews
    • Own and maintain product features post‑launch, incorporating feedback to continuously refine and improve capabilities
  • Execution & Stakeholder Engagement
    • Drive execution of product roadmaps, ensuring alignment with near‑ and mid‑term priorities
    • Partner with internal stakeholders and external vendors across the end to end GenAI use case lifecycle
    • Prepare and present product updates, documentation, metrics, and recommendations to stakeholders and leadership
    • Evaluate tradeoffs between model quality, performance, cost, and latency in partnership with technical teams
  • Stay informed on emerging AI, LLM, and machine learning technologies and relevant vendor offerings
  • Contribute to identifying reusable GenAI patterns and capabilities to support future…
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