Senior Product Manager, Buyer Experience

StockX • Detroit, MI

22h • $100,000 - $115,000

About The Position

Help empower our global customers to connect to culture through their passions. Why You’ll Love This Role StockX is building the most trusted, data-driven marketplace in the world — and buyer experience is where that trust either compounds or erodes. As a Senior Product Manager, Buyer Experience, your mission is to use data, experimentation, and applied AI to make StockX feel unmistakably personal, intelligent, and reliable for every buyer. This role exists to move the buyer experience from static and reactive to adaptive and predictive. You’ll lead product strategy at the intersection of personalization, trust, and conversion, using machine learning, behavioral signals, and rigorous measurement to drive meaningful business impact. Your work will directly influence GMV, conversion, repeat purchase, and buyer lifetime value at global scale. What You’ll Do Buyer Experience & Personalization Vision: Own the product vision and roadmap for core buyer-facing experiences that drive purchase confidence and conversion, with personalization as a first-class capability rather than a layer on top. AI & Data-Driven Product Strategy: Partner closely with Marketing, Business teams, Data Science and Analytics to define and operationalize personalization strategies using machine learning models, behavioral signals, and buyer segmentation. Translate complex data insights into clear product bets that improve buyer relevance, pricing confidence, messaging clarity, and decision-making at the point of purchase. Lead the evolution of experimentation frameworks to continuously test, validate, and scale buyer experience improvements. Collaborate with Engineering to ensure personalization and AI-powered features are production-ready, scalable, and measurable. Work cross-functionally with Engineering, Trust, Operations, and Marketing to ensure AI-driven experiences reinforce transparency and marketplace integrity. Establish clear success metrics and dashboards to evaluate impact and guide prioritization, making tradeoffs grounded in business outcomes rather than intuition. Act as a strong advocate for responsible, explainable personalization that enhances trust and avoids dark patterns or buyer confusion. Influence broader platform strategy by representing buyer needs and data-backed insights beyond your immediate roadmap.

Requirements

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field
• 5+ years of product management experience in eCommerce, marketplaces, or consumer technology.
• Proven experience partnering with Data Science teams to ship ML-powered or algorithm-driven products.
• Strong analytical fluency — comfortable with experimentation design, KPI definition, and interpreting model outputs and tradeoffs.
• Experience driving personalization, recommendations, ranking, pricing, or segmentation initiatives at scale.
• Deep appreciation for trust, transparency, and ethical use of data in high-consideration purchases.
• Able to lead through influence in cross-functional, highly technical environments.
• Motivated by mission-driven work and building intelligent systems that earn buyer trust over time.

Nice To Haves

• MBA a plus.

Responsibilities

• Own the product vision and roadmap for core buyer-facing experiences that drive purchase confidence and conversion, with personalization as a first-class capability rather than a layer on top.
• Partner closely with Marketing, Business teams, Data Science and Analytics to define and operationalize personalization strategies using machine learning models, behavioral signals, and buyer segmentation.
• Translate complex data insights into clear product bets that improve buyer relevance, pricing confidence, messaging clarity, and decision-making at the point of purchase.
• Lead the evolution of experimentation frameworks to continuously test, validate, and scale buyer experience improvements.
• Collaborate with Engineering to ensure personalization and AI-powered features are production-ready, scalable, and measurable.
• Work cross-functionally with Engineering, Trust, Operations, and Marketing to ensure AI-driven experiences reinforce transparency and marketplace integrity.
• Establish clear success metrics and dashboards to evaluate impact and guide prioritization, making tradeoffs grounded in business outcomes rather than intuition.
• Act as a strong advocate for responsible, explainable personalization that enhances trust and avoids dark patterns or buyer confusion.
• Influence broader platform strategy by representing buyer needs and data-backed insights beyond your immediate roadmap.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees