Senior Product Manager, Buyer Experience

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.

How You’ll Measure Success

You will help drive measurable improvements across key buyer and business metrics, including but not limited to:

• Conversion rate and funnel efficiency at the point of purchase.


• Buyer repeat purchase rate and buyer lifetime value (LTV)Engagement and lift from personalized experiences (e.g., CTR, adoption, incremental GMV)


• Buyer NPS and trust-related satisfaction signals


• Experiment velocity and percentage of roadmap validated through testing


• Accuracy, coverage, and business impact of personalization and recommendation models

About You

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field; MBA a plus.


• 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.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $100,000 to $115,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies may vary.

About StockX

StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.