LeadStack Inc. · 4 months ago
Product Manager Level 3
LeadStack Inc. is an award-winning staffing services provider focused on contingent workforce solutions. They are seeking a Senior Product Manager to define and execute the vision and strategy for their Retail Media Network, working across various teams to develop impactful advertising solutions while enhancing customer experience.
Business DevelopmentInformation TechnologyRecruitingStaffing Agency
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
Qualification
Required
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
Preferred
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)
Benefits
Competitive compensation and benefits package.