Payrate: $75.00 - $85.00/hr. Summary: We are building a next-generation Retail Media Network (RMN) that leverages our rich first-party shopper data and retail ecosystem to deliver impactful advertising solutions for brands while enhancing the customer experience. We are seeking a senior product leader to define and execute the vision, strategy, and roadmap for our retail media platform. This role sits at the intersection of ad tech, retail, and product innovation — working across engineering, data science, sales, marketing, and merchandising teams. You will lead the development of ad products, campaign management tools, targeting capabilities, and reporting/attribution solutions that drive advertising value and retail revenue while protecting customer experience. Responsibilities: • Define and own the product strategy and roadmap for our Retail Media Network. • Build advertiser-facing solutions: self-serve campaign creation, targeting, optimization, and reporting dashboards. • Partner with engineering to deliver scalable, privacy-compliant platforms (ad serving, audience segmentation, attribution). • Drive innovation in ad formats (onsite sponsored products, offsite display, CTV/streaming, etc.). • Develop and maintain measurement and attribution frameworks (closed-loop reporting, incrementality testing). • Collaborate with data science and analytics teams to leverage first-party retail data for targeting and insights. • Lead product discovery, testing, and experimentation to validate new opportunities. Qualifications: • 12 years of product management experience, with at least 5 years in ad tech, martech, or retail media. • Experience building advertiser self-serve platforms or working in a two-sided marketplace (retailers advertisers). • Strong technical fluency — ability to collaborate with engineering on APIs, ad delivery systems, data pipelines, and reporting platforms. • Deep understanding of ad tech ecosystem (DSPs/SSPs, ad servers, bidding, attribution, identity resolution). • Familiarity with first-party retail data, shopper behavior, and closed-loop measurement. • Proven track record of taking products from 0→1 and scaling adoption. • Strong stakeholder management and communication skills — able to align executives, merchants, and advertisers. • Knowledge of privacy regulations (GDPR, CCPA) and their implications on advertising. Nice to Have • Experience in retail, eCommerce, or consumer-facing platforms. • Exposure to machine learning-driven personalization or targeting. • Prior work in a startup / high-growth environment. • Familiarity with clean room technologies (e.g., Snowflake, Habu, LiveRamp). Pay Transparency: The typical base pay for this role across the U.S. is: $75.00 - $85.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacypolicy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting #25-22378