Source: CrawlJobs

Product Manager

NBCUniversal New York, United States
Full-time Hybrid work

Publication date: 07/11/2026

The Product Manager, Enterprise Data & AI will be part of our Enterprise Data + AI Product organization and will help turn business problems into products, solutions and experiences that create measurable value across NBCUniversal. This is a hands-on product builder role at the intersection of business, product, data and AI. The role works directly with business and product teams to understand how they work, uncover meaningful problems and opportunities, connect those needs to enterprise capabilities, and help move ideas from discovery through validation and adoption. Hybrid schedule requiring contributing from the office a minimum of four days per week.

Responsibilities

Business discovery and stakeholder engagement to identify meaningful problems, opportunities and use cases; Translation of business needs into clear product opportunities, hypotheses, outcomes and success measures; Rapid prototyping and experimentation to make ideas tangible and accelerate learning; Product positioning, demos, enablement and other go-to-market motions that drive understanding and adoption; Voice of the Customer and product feedback loops that inform future priorities; Adoption and business-value measurement for priority initiatives; Clear communication between business, Product, Data, Engineering and AI teams; AI-enabled ways of working that increase speed, quality and individual leverage; Define and track appropriate measures of adoption, engagement and business value; Bring business, customer and adoption signal back to Product Managers and product leaders to help inform roadmap priorities; Partner across Product Management, Product Operations, Engineering, Data, AI and business teams to determine the right path from opportunity to scalable solution; Make sophisticated data, technology and AI capabilities understandable and actionable through clear product narratives, demos, executive-ready materials and reusable enablement assets

Requirements

Bachelor's degree or equivalent practical experience; 5+ years of experience in Product Management, Product Strategy, technical Product Marketing, MarTech/AdTech, Solutions, Data/AI products, customer-facing technology or a related product and technology discipline; Demonstrated ability to take an ambiguous customer or business problem from discovery through a clear product opportunity, solution or measurable outcome; Strong product judgment and customer-discovery skills, including the ability to challenge a stated request and uncover the underlying business need; Strong data fluency and comfort working with analytics, metrics, data products and technical concepts; Hands-on experience using AI-assisted development, prototyping or automation tools to turn ideas into working prototypes, workflows or other tangible solutions; Ability to translate complex technical concepts into clear, compelling and actionable guidance for both technical and non-technical audiences; Strong stakeholder management and cross-functional leadership skills with demonstrated ability to influence without formal authority; Proven ability to operate independently, create structure from ambiguity and drive work from problem through outcome with minimal oversight; Excellent written, verbal and visual communication skills

Nice to have

Experience with enterprise data platforms, MarTech, AdTech, identity, CRM, analytics, AI platforms or other data-intensive product environments; Experience with GitHub Copilot strongly preferred; experience with Claude Code, Cursor or similar AI development environments is also valuable; Experience building prototypes, lightweight applications, automations or agentic workflows without relying exclusively on an Engineering team; Experience developing product positioning, go-to-market strategies, demonstrations, enablement or adoption programs for technical products; Experience establishing Voice of the Customer, customer-success, product usage or adoption feedback loops; Familiarity with modern product and collaboration tools such as GitHub, Jira, Confluence, Figma and analytics/BI platforms; Builder mentality with a bias toward experimentation, learning and tangible outcomes; Intellectual curiosity and willingness to rapidly learn unfamiliar business and technical domains; Strong ownership mindset and follow-through; Ability to move fluidly between strategy and execution

Benefits

Company sponsored benefits including medical, dental and vision insurance; 401(k); paid leave; tuition reimbursement; a variety of other discounts and perks
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