Product Manager

NBCUniversal•Stamford, CT

16d•$110,000 - $145,000•Hybrid

About The Position

NBCUniversal is seeking an experienced and motivated Technical Product Manager for its AI Content and Media Product team within Operations & Technology. The role sits at the intersection of machine learning systems, large-scale media workflows, metadata standards, and enterprise integrations, translating technical capabilities into scalable, production-ready products used across NBCUniversal. This is a hands-on senior individual contributor position combining product judgment, technical fluency, and execution. The Product Manager partners with Engineering, Data Science, Program Management, and business stakeholders to deliver reliable product value aligned with organizational goals. The position currently follows a hybrid schedule, requiring at least four days per week in the office; the company may change in-office requirements. The role is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and other discounts and perks. The stated salary range is $110,000–$145,000 per year.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
At least 5 years of relevant professional experience in product management, product development, or related technical roles.
Proven experience as a Product Owner or Technical Product Manager on complex, technology-driven products.
Ability to translate technical concepts and system behavior into clear product requirements for technical and non-technical audiences.
Experience partnering closely with engineering and data science teams to deliver AI- or data-driven products.
Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
Solid understanding of agile methodologies and modern product development practices.

Nice To Haves

Strong collaboration skills and ability to build effective working relationships across teams.
Advanced analytical, problem-solving, and critical-thinking skills.
Self-starter who is comfortable working in an evolving and ambiguous problem space.
Familiarity with product management tools such as Jira, Confluence, and Airtable.
Proficiency with Lucidchart, Word, PowerPoint, Excel, and SharePoint.
Experience in the Media & Entertainment industry.
Knowledge of data governance, privacy, legal compliance, cybersecurity, and ethical AI best practices.
Experience writing, reviewing, or contributing to codebases in modern programming languages.

Responsibilities

Collaborate with Engineering, Data Science, Program Management, Product, and Scrum teams to scope, develop, and deliver GenAI-powered product capabilities.
Understand stakeholder workflows and business needs and translate them into actionable product requirements and user stories.
Own one or more product areas from discovery through delivery and iteration.
Partner with cross-functional teams to define and maintain an outcome-based roadmap informed by customer insights, technical constraints, and business priorities.
Test products to validate functionality, accuracy, and performance, and support demos and product reviews.
Own and maintain product features after launch, using feedback to refine and improve capabilities.
Drive execution of product roadmaps in alignment with near- and mid-term priorities.
Partner with internal stakeholders and external vendors throughout the GenAI use-case lifecycle.
Prepare and present product updates, documentation, metrics, and recommendations to stakeholders and leadership.
Evaluate tradeoffs among model quality, performance, cost, and latency with technical teams.
Stay informed about emerging AI, LLM, and machine learning technologies and relevant vendor offerings.
Identify reusable GenAI patterns and capabilities for future product development.
Identify opportunities to enhance product capabilities, improve operational processes, and drive efficiency.
Provide mentorship and day-to-day guidance to junior Product Managers through collaboration, feedback, and shared execution.