Product Manager, AI Data & Platform

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

As a Product Manager, AI Data & Platform, you will lead the strategy, roadmap, and execution of AI Data Platform-as-a-Service (PaaS) capabilities. Your focus will be on building a scalable, secure, and efficient AI data infrastructure that supports data access, governance, data models, and ML lifecycle management. Working at the intersection of AI, data, and backoffice operations, you’ll collaborate closely with other Product Managers and leaders to ensure seamless integration across AI-driven initiatives and enterprise-wide data strategies. You will drive data orchestration, feature engineering, data models, and observability, enabling a unified and efficient AI ecosystem across Comcast. This role requires expertise in data fabric, AI feature stores, unified catalogs, ML lifecycle management, and workflow orchestration to empower Data Scientists, ML Engineers, and business stakeholders, while ensuring AI data capabilities align with business priorities and technical innovation.

Job Description

This Product Manager can be based in our Denver, CO or Philadelphia, PA office.

HOW WE WORK

Our team follows five guiding principles to build the best AI data platform solutions:

• ​We take action and deliver results – We own our work, take initiative, and move fast, ensuring that AI and ML solutions drive measurable business value.
• We are agile and continuously evolve – We embrace change, iterate quickly, and refine our AI platforms and data models to support ever-evolving business needs.
• We celebrate impact, not egos – We value open feedback and collaborative problem-solving, ensuring our AI platforms serve the business and customers first.
• We believe in winning together – We foster strong partnerships across product managers, engineers, and data scientists to align AI-driven capabilities with enterprise goals.
• We trust in the power of data – We champion AI-ready data, feature stores, and data fabric principles, ensuring our platforms provide high-quality, governed, and scalable data.

CORE RESPONSIBILITIES

• Product Strategy – Define and drive the AI Data Platform PaaS roadmap, ensuring it aligns with AI/ML initiatives and business priorities.
• Execution – Break the work down into features, drive product roadmap and execution, shape experiences, study them & iterate..
• Cross-Team Collaboration – Partner with other product managers, engineering teams, data scientists, and business leaders to ensure AI data platform capabilities align with enterprise needs.
• Inspiring Leader: Lead strong cross-team collaboration, using strategy and vision to align teams around common goals and a roadmap. Has the ability to view the “big picture” of challenges impacting the customer, technical, functional, and process experiences.
• Customer-Centric Approach – Adopts the customer's perspective when defining business opportunities and story maps to identify underlying business needs, recognize trends, and anticipate future needs. Internalizes and represents the “Voice” of the customer throughout the product lifecycle. Coordinates across other functional areas to secure buy-in to deliver on the defined end-to-end customer experience
• Data & AI Savvy – Drive data-centric product development. Is passionate about data-driven decision-making and learning through experimentation.
• Technology Mindset – Work closely with engineering teams to evaluate, refine, and integrate AI data infrastructure, workflow orchestration, and observability solutions.
• Communication & Influence – Translate technical AI data capabilities into business impact, driving alignment across stakeholders and leadership.
• Agility & Innovation Operate effectively in an agile development environment, with the flexibility to adapt to and customize development methodologies.

This role is perfect for those who thrive at the intersection of AI, data, and product strategy, enabling the next generation of AI-powered experiences at Comcast.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Data Governance Framework; Platform as a Service (PaaS); Enterprise Data Management; Product Management; Machine Learning Architecture Design

Salary:

Primary Location Pay Range: $140,870.40 - $211,305.60

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years