FreeWheel Logo

FreeWheel

Sr. Product Manager, Optimization

Posted 10 Days Ago
Hybrid
New York, NY
148K-222K Annually
Senior level
Hybrid
New York, NY
148K-222K Annually
Senior level
The Sr. Product Manager will lead development of ML-powered products, collaborate with engineering teams, and evaluate product strategies within FreeWheel's Buyer Cloud.
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

Data Science
Digital Advertising
Machine Learning
HQ

FreeWheel New York, New York, USA Office

1407 Broadway, 12th Floor, New York, NY, United States, 10018

Similar Jobs at FreeWheel

5 Hours Ago
Hybrid
New York, NY, USA
29K-44K Hourly
Entry level
29K-44K Hourly
Entry level
AdTech • Digital Media • Marketing Tech
The Sales Coordinator for Revenue Operations will support analytics, project management, and sales enablement for the Revenue Budget, driving efficiencies in coordination with sales teams.
Top Skills: HiveLookerSalesforceViva
Yesterday
Hybrid
New York, NY, USA
85K-127K Annually
Senior level
85K-127K Annually
Senior level
AdTech • Digital Media • Marketing Tech
The Sr. Analyst, Deal Desk drives operational excellence by managing deal desk operations, ensuring data accuracy in Salesforce, analyzing deal performance, and enabling sales teams through training materials and documentation.
Top Skills: Cpq SystemsLookerSalesforce CRM
Yesterday
Hybrid
New York, NY, USA
55-55 Hourly
Internship
55-55 Hourly
Internship
AdTech • Digital Media • Marketing Tech
The intern will support the Audience and Identity team at FreeWheel, working on targeted advertising products, analyzing data, and collaborating across teams.
Top Skills: SQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account