Senior Product Manager - Retail Platforms

Job Description

Summary:

Data and intelligence are becoming central to how we identify and unlock transaction growth opportunities in Retail. Our ambition is to help sellers see where the biggest opportunities are, understand what actions are most likely to create value, and learn from what happens in the market, so the next recommendation gets better.

Getting there requires more than better analytics or another dashboard. We are building product capabilities that bring together data from across the business, predictive models, commercial context, and frontline execution. The goal is to make increasingly sophisticated intelligence simple and useful for a seller:
Where should I focus? What should I do? Why does it matter? And what can we learn from what happens next?

Our product organization brings together small, empowered teams across product, engineering, data science, design, and the business. Together, we are building the data and intelligence foundation for Transaction Growth and the experiences that put those capabilities into the hands of sellers.

If you're excited about turning complex data into better decisions, working across business and technology, and building products that get smarter through use, we'd love to meet you.

The Sr. Product Manager - Retail Platforms will help shape the data and intelligence capabilities that power Transaction Growth in Retail.

You’ll sit at the intersection of business, data science, and engineering, connecting the commercial problems we’re trying to solve with the data, models, and technology needed to solve them. You’ll need to be comfortable moving between those worlds: understanding the needs of a seller, working through a model or data-quality question with a data scientist, and making trade-offs with engineering.

This is not primarily a backlog-management role. You’ll make real product decisions about how data is brought together and made usable, how models and recommendations are evaluated, how intelligence reaches frontline users, and how we measure whether any of it is actually creating value.

A central part of the role is treating data and models as part of the product itself. How do we know a recommendation is good? Did the seller act on it? What happened as a result? What should we learn from that outcome? You’ll work with the team to build those learning loops into the product, so recommendations become more relevant and useful over time.

Ultimately, the work should make something complicated feel simple: help sellers focus on the right opportunities, take the right actions, and drive measurable transaction growth.

You’ll be part of a small, empowered product team with the autonomy to discover problems, test ideas, make informed trade-offs, and improve the product through continuous learning.

• Own the vision, outcomes, and roadmap for Retail Transaction Growth data and intelligence capabilities.
• Define the business and user problems the team should solve and establish measurable outcomes for success.
• Connect Retail priorities to the data, models, and technical capabilities needed to support them.
• Balance foundational investments in data and technology with near-term opportunities to create value for sellers.
• Use evidence from the market to continually reassess priorities and where the team should invest.

• Treat data, models, and decisioning capabilities as products, with clear users, outcomes, quality expectations, and measures of success.
• Work with engineering to understand how data is sourced, transformed, connected, and made available to products, and make informed trade-offs around architecture, pipelines, APIs, quality, and reliability.
• Partner with data…