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Role Description

This role offers a high-impact opportunity to lead the vision, strategy, and execution of an advanced data and AI platform in a fast-growing digital commerce environment. You will oversee the full product lifecycle for data infrastructure, telemetry, analytics, experimentation, and machine learning–powered solutions that drive measurable outcomes for retail partners, advertisers, and internal teams. Working at the intersection of Product, Engineering, Data Science, and Analytics, you will define how data is collected, governed, modeled, and activated while scaling AI-driven capabilities to generate revenue, improve operational efficiency, and enhance customer experience. This position combines strategic leadership with hands-on decision-making, making it ideal for a product leader with deep data expertise and the ability to translate complex business needs into scalable, high-value solutions.

• Define and execute the multi-year data and AI roadmap, including ETL pipelines, telemetry, identity, storage, transformation, and activation layers.
• Partner with Engineering and Analytics teams to develop scalable, reliable, and cost-efficient data architecture.
• Establish standards for data quality, governance, and privacy, aligning with retailer, advertiser, and internal data flows.
• Drive improvements in data completeness, accuracy, and trust, ensuring reliable inputs for business KPIs.
• Develop reporting, dashboards, and self-serve analytics for internal stakeholders and external partners.
• Balance foundational platform investments with revenue-generating AI solutions, including audience optimization, personalized advertising, and promotional systems.
• Collaborate with Data Science to deliver ML-powered features, translating models into explainable, actionable product outputs.
• Mentor Product Managers and lead cross-functional teams across Product, Engineering, Data Science, Design, Revenue, and Operations.
• Communicate vision and progress to executive leadership and stakeholders with clarity and credibility.

Qualifications

• 8–12+ years in Product Management, with significant experience in data platforms, analytics, or AI/ML-driven products.
• Proven track record in managing data-driven products and leading cross-functional teams.
• Strong understanding of data ingestion, ETL, warehousing, and reporting technologies.
• Experience with personalization algorithms, recommendation systems, and machine learning applications.
• Exceptional analytical, leadership, communication, and collaboration skills.
• Experience influencing and coordinating cross-functional teams to achieve strategic priorities.
• Ability to translate complex technical details into high-level strategy for diverse audiences.
• Understanding of the software development lifecycle and online services management.
• Proven experience in roadmap strategy, feature delivery, and product trade-offs.
• Bachelor’s degree in Computer Science, Data Science, Business, or related field; MBA preferred.
• Must be authorized to work in the U.S. without visa sponsorship.

Preferred Qualifications

• Background in retail media, ad tech, martech, ecommerce, or multi-tenant SaaS platforms.
• Experience with attribution modeling, incrementality testing, or performance marketing analytics.
• Familiarity with modern analytics stacks, feature stores, and ML lifecycle tooling.
• Passion for technology, curiosity for deep technical knowledge, and commitment to learning.

Benefits

• Competitive salary and equity opportunities.
• Comprehensive medical, dental, and vision coverage.
• 401(k) plan with company match.
• Flexible, remote-first work environment.
• Opportunities to work with cutting-edge AI and ML-powered technologies.
• Collaborative and high-growth culture of experimentation and ownership.
• Professional growth through mentorship, technical skill development, and leadership opportunities.