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Comcast Advertising

Sr. Product Manager, Optimization

Posted An Hour Ago
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Hybrid
New York, NY
148K-222K Annually
Senior level
Hybrid
New York, NY
148K-222K Annually
Senior level
The Senior Product Manager will lead the vision and strategy for Machine Learning applications, work closely with engineering teams, and drive product commercialization efforts for FreeWheel's Buyer Cloud product.
The summary above was generated by AI
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.

Comcast is 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:
Machine Learning (ML); Product Management; Advertising Technologies; Product Strategies
Salary:
Primary Location Pay Range: $147,741.60 - $221,612.40
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.
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

Top Skills

Analytics
Data Science
Machine Learning
Statistics
HQ

Comcast Advertising New York, New York, USA Office

55 W 46th St., New York, NY, United States, 10036

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