Senior AI Product Manager, Enterprise Ops

Nbcuniversal; Universal Plaza (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k)

Paid leave

Tuition reimbursement

Employee discounts

Job summary

NBCUniversal is seeking a Senior Product Manager for the Enterprise Business Solutions AI Product team to own the full lifecycle of agent products—from discovery through deployment and ongoing iteration. You will build intelligent workflows that automate program operations and surface insights from complex data to empower NBCUniversal teams.

You will collaborate with engineering, product, and business teams, writing code and shipping AI-driven solutions that drive measurable business impact and

Qualifications

• Bachelor’s degree in data analytics, computer science, or related field.
• 8+ years of experience in digital product development or a closely related field.
• Exceptional communication and collaboration skills, with the ability to influence stakeholders at all levels.
• Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture (prompt engineering, tool use, agent orchestration), NLP, machine learning algorithms, and big data analytics.
• Analytical skills for identifying user patterns, insights, and performance metrics.
• Ability to gather and comprehend complex requirements and challenges across all business levels.
• Ability to convey complex technical issues to both technical and non-technical audiences, with ability to define requirements and iterate on solutions
• Hands-on experience with understanding and building products on large data sets and enterprise data architectures requiring systems integration, data governance, and security compliance.
• Hands-on experience with AI platforms, cloud services, and analytics tools (e.g., Python, Azure, AWS, Google Cloud)
• Expertise in SDLC process, scoping, iteration planning, user story writing, rollout management.

Responsibilities

• Work directly with Enterprise Business Solutions program and product teams to identify highest-value use cases for agentic solutions, deployment, tool adoption, and infrastructure architecture.
• Partner with client-facing teams to understand customer use cases, ensuring conversational agents meet the needs of both end users and stakeholders.
• Assist in the building of end-to-end agentic products and solutions (including multi-agent orchestration, tool use, and structured reasoning), from concept and design through implementation, ensuring scalability, adaptability, and alignment with business objectives.
• Co-develop agentic solutions with business teams — enabling them to customize, maintain, and operate agents after initial deployment.
• Translate ambiguous business problems into well-scoped agentic product and solution requirements with clear success metrics.
• Leverage data insights to continuously optimize AI products and business outcomes — measuring adoption, output quality, user journeys, time-to-insight, and other KPIs.
• Own agent quality by implementing evaluation frameworks, monitoring production accuracy, and driving prompt iteration cycles based on eval results.
• Create and present documentation to business partners, execute product demos and walk-throughs, and deliver AI-driven analytics capabilities that enable real-time, data-informed decision-making across the enterprise.

Skills

LLMs & RAG architecture

NLP & ML

Big data analytics

Stakeholder communication

SDLC

Requirements gathering

Cloud platforms

Education

Bachelor’s degree in CS/related field

Tools

Python

Azure

AWS

Google Cloud

Job description

NBCUniversal is seeking a Senior Product Manager for the Enterprise Business Solutions AI Product team to own the full lifecycle of agent products—from discovery through deployment and ongoing iteration. You will build intelligent workflows that automate program operations and surface insights from complex data to empower NBCUniversal teams.

You will collaborate with engineering, product, and business teams, writing code and shipping AI-driven solutions that drive measurable business impact and