Sr. Product Manager, Optimization

Comcast • New York, NY

3d • $147,742 - $221,612

About The Position

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary FreeWheel is hiring a Senior Product Manager focused on the development of optimization & machine learning applications within FreeWheel’s Buyer Cloud product. This role will focus on expanding our suite of Machine Learning-powered products, including bidding optimization, supply efficiency via prediction, inventory forecasting, and much more, within our Demand Side Platform (DSP) product. Job Description Core Responsibilities Define and execute the product vision and strategy for all aspects of our product related to Machine Learning and Optimization Collaborate closely with our Engineering team to guide products to launch and beyond Evaluate competing priorities, solutions and guide the team on ideal implementation Serve as the voice of the customer in the development of our products, bringing key industry expertise to build innovative solutions Participate in engineering planning and standup meetings, ensuring successful and timely delivery of new features Partner with our Product Commercialization and Revenue teams on go-to-market efforts, presenting and training on our solutions, and establishing expertise on our competitive offering Integrate and collaborate with our larger Product team, navigating interdependencies and building cross-functional applications Potential for travel depending on business needs Requirements: 4+ years of product management or equivalent experience, with a history of delivering complex, data-oriented solutions; digital advertising experience a plus Degree in computer science, data science, statistics, or equivalent experience Knowledge of fundamentals of Data Science, Analytics, Machine Learning and Statistics, with hands-on experience strongly preferred Experience developing and maintaining enterprise products, throughout the entire product life cycle A passion for customers and the ability to acutely evaluate and weigh competing solutions and requests to deliver best-in-class products Excellent communication skills, both verbal and written, and a strong attention to detail Entrepreneurial spirit, with a desire to wear many hats and tackle many challenges 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. Support a culture of inclusion in how you work and lead. 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.

Requirements

• 4+ years of product management or equivalent experience, with a history of delivering complex, data-oriented solutions; digital advertising experience a plus
• Degree in computer science, data science, statistics, or equivalent experience
• Knowledge of fundamentals of Data Science, Analytics, Machine Learning and Statistics, with hands-on experience strongly preferred
• Experience developing and maintaining enterprise products, throughout the entire product life cycle
• A passion for customers and the ability to acutely evaluate and weigh competing solutions and requests to deliver best-in-class products
• Excellent communication skills, both verbal and written, and a strong attention to detail
• Entrepreneurial spirit, with a desire to wear many hats and tackle many challenges
• 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.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

Responsibilities

• Define and execute the product vision and strategy for all aspects of our product related to Machine Learning and Optimization
• Collaborate closely with our Engineering team to guide products to launch and beyond
• Evaluate competing priorities, solutions and guide the team on ideal implementation
• Serve as the voice of the customer in the development of our products, bringing key industry expertise to build innovative solutions
• Participate in engineering planning and standup meetings, ensuring successful and timely delivery of new features
• Partner with our Product Commercialization and Revenue teams on go-to-market efforts, presenting and training on our solutions, and establishing expertise on our competitive offering
• Integrate and collaborate with our larger Product team, navigating interdependencies and building cross-functional applications
• Potential for travel depending on business needs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees