Job DescriptionWe are seeking a highly experienced and motivated Senior Product Manager, AI Solutions to join our AI Solutions team within Operations & Technology. In this role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions. This role will involve product management, cross-functional collaboration, strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs.
Key Responsibilities- Agentic Agent Analytics and Operations
- Define and deliver analytics that measure performance, engagement, task completion, quality, reliability, and business impact across internal corporate and DTC agents in a complex, constantly changing ecosystem.
- Translate stakeholder needs into analytics requirements, success metrics, user stories, and instrumentation plans with Product, Engineering, Data, Program Management, Scrum, and leadership teams.
- Establish measurement frameworks for agentic workflows across corporate and consumer-facing use cases, including adoption, escalations, accuracy, and operational efficiency.
- Validate tracking implementation and data quality through testing, dashboard reviews, metric reconciliation, and stakeholder demos.
- Support agent operations by monitoring trends, identifying optimizations, and coordinating analytics-driven issue investigation and follow-up across internal and DTC environments.
- Own analytics products and reporting experiences, refining insights, dashboards, and measurement approaches based on stakeholder feedback and usage patterns.
- Product Analytics Strategy & Stakeholder Engagement:
- Drive the product analytics roadmap, aligning measurement priorities with product strategy, enterprise AI objectives, customer insights, and long-range business goals.
- Collaborate with stakeholders, vendors, and analytics partners across the GenAI and agentic AI lifecycle, from discovery and instrumentation through launch, optimization, and executive reporting.
- Prepare dashboards, reports, metric narratives, recommendations, and executive-ready insights on product performance, agent effectiveness, opportunities, and risks.
- Product Insights & Innovation:
- Stay current on AI, LLM, analytics, experimentation, observability, and measurement technologies that improve agent and product insight capabilities.
- A builder's mindset - you actively use AI tools to prototype, accelerate, and ship rather than just specify and delegate.
- Hands-on experience building or prototyping AI agents and agentic workflows.
- Develop reusable analytics patterns, measurement standards, and reporting templates that scale across GenAI and agentic AI implementations.
- Identify opportunities to improve product experiences, optimize agent workflows, strengthen operations, and drive measurable outcomes through data-informed decisions.
- Partner with data, engineering, and governance teams to support trustworthy analytics practices across data quality, privacy, compliance, and ethical AI measurement.
Qualifications- Bachelor's degree in computer science, Engineering, or a related field (or equivalent professional experience)
- 8+ years of progressive product management experience, including ownership of enterprise-scale AI, data, analytics, or platform products from strategy through launch, adoption, and optimization.
- Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Proven experience leading LLM-based conversational agents, agentic workflows, or AI-enabled enterprise products, including roadmap ownership, requirements definition, launch planning, stakeholder alignment, and post-launch measurement.
- Exceptional product judgment, organizational discipline, executive communication, and prioritization skills, with the ability to manage competing strategic initiatives, influence cross-functional partners, and drive decisions in ambiguous environments.
- Deep understanding of agile delivery practices, human-centered product design, conversational AI, LLM evaluation, prompt and workflow design, and the technical tradeoffs that shape enterprise AI product decisions.
Desired Characteristics:
- Strong collaboration skills and the ability to build relationships and foster partnerships across teams.
- Advanced technical, quantitative, analytical, research, and problem-solving skills, with demonstrated ability to use data, experimentation, and structured analysis to make product tradeoffs and influence strategic decisions.
- Self-starter with the ability to succeed in a fast-paced, evolving landscape.
- Familiarity with UI/UX principles and their application to product development.
- Experience with product management tools like Jira, Confluence, and Airtable.
- Experience defining product analytics strategies, success metrics, experimentation approaches, business intelligence outputs, OpenTelemetry instrumentation, and observability practices using tools such as Amplitude, Power BI, and related product analytics platforms.
- Proficiency with Lucidchart, Word, PowerPoint, Excel, and SharePoint.
- Experience in the Media & Entertainment industry.
- Working knowledge of data governance, privacy, legal compliance, cybersecurity, responsible AI, and ethical AI practices, with experience partnering with legal, security, data, and governance teams to manage risk in enterprise AI products.
Additional Requirements:
- Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of four days per week.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - $160,000
Additional InformationAs part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision.
