On-site Owned and Operated (O&O) Product Manager - CVS Media Exchange (CMX)

CVS Health•Chicago, IL

5d•$66,330 - $159,120•Hybrid

About The Position

CVS Media Exchange (CMX) is dedicated to driving measurable outcomes for our suppliers, merchants, stores, GMs, brand advertisers, and agencies. Our full-funnel ad solutions leverage CVS’s in-store and online data, extensive reach, and to provide measurable results for our clientele. With a range of flexible pricing and buying models, including self-service; these solutions help businesses build brand awareness, engage with CVS consumers, and convert CVS consumers to shoppers. As the Onsite Product Manager, you will partner with the O&O (Owned and Operated) team to drive the development, execution, and continuous optimization of onsite display and sponsored advertising experiences, including Sponsored Products and Sponsored Brands. This role is critical to expanding CMX’s onsite monetization capabilities, improving ad relevance and performance, and driving measurable outcomes for advertisers. You will work closely with engineering, ad operations, sales, and data science to build scalable, high-impact solutions across CMX’s onsite surfaces.

Requirements

5+ years of product management experience within digital advertising, retail media, or AdTech, including hands-on experience with onsite advertising products, including Display, Sponsored Products and/or Sponsored Brands.
Experience working cross-functionally with Ad Ops, Engineering, and Sales teams
Experience with working knowledge of GAM, including inventory structure, key-values, targeting, and trafficking workflows
Experience utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau, Looker and Power BI.

Nice To Haves

Experience working with retail media networks and understanding of onsite monetization strategies
Familiarity with auction-based systems, relevance/ranking logic, and performance optimization
Strong analytical skills with experience using performance metrics to guide product decisions
Leverage data and measurement insights to support product decisions, including experimentation, performance analysis, and attribution alignment.
Agility & Self-Starter: Demonstrated ability to adapt swiftly to evolving priorities and challenges. Proactive in identifying and driving projects forward independently within a fast-paced environment.
Cross-Functional Leadership: Demonstrated ability to work collaboratively across departments, resolve complex conflicts, and lead cross-functional projects. Excellent communication skills, with the ability to translate complex technical concepts for business audiences.
Customer Focus: Passionate about understanding user behavior, advertiser needs, and trends in digital advertising to deliver a product that meets both client and consumer expectations.
Experience with analytics tools and A/B testing methodologies is highly desirable.

Responsibilities

Contribute to and help evolve the onsite advertising product roadmap, including display and sponsored formats (Sponsored Products and Sponsored Brands), with a focus on performance and scalability
Support the development and optimization of onsite inventory strategy, including placement design, ad formats, and monetization approaches across key surfaces
Act as a supporting subject matter resource for onsite ad serving and platform capabilities, leveraging working knowledge of GAM (ad units, key-values, targeting, yield optimization)
Partner with cross-functional teams to improve platform performance and scalability, including trafficking workflows, targeting capabilities, and reporting accuracy
Assist in advancing auction dynamics, ranking logic, and ad relevance, including integration across search and browse experiences
Deploying interactive dashboards and visualizations using Tableau, Looker, and Power BI to track performance metrics and KPIs; defining and monitoring key performance indicators (KPIs) for engagement and monetization, and creating benchmarks against industry standards.
Utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau, Looker and Power BI.
Leverage data and measurement insights to support product decisions, including experimentation, performance analysis, and attribution alignment.