Product Manager

84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

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We’re looking for a strategic, collaborative, and delivery-minded Applied AI Lead to help bring AI to life across Kroger, KTD and 84.51°. This role sits at the intersection of AI capability development and business impact, focused on driving AI adoption and application, from consultation to co-development.

You’ll lead prototyping efforts, drive tangible use case delivery, and serve as a champion for scaling AI Enablement tools and services. This is a high-visibility, high-impact role that requires someone who can connect technical potential with business value — and deliver quickly.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

RESPONSIBILITIES**:**

The ideal candidate will be responsible for bridging the gap between cutting-edge, foundational AI technologies and Kroger, KTD, and 84.51° business strategies.  This individual will play a crucial role in understanding business needs, users’ problems and tying them back to the Kroger AI Enablement technical roadmap.  This role will ensure AI initiatives and priorities are aligned with business vertical objectives to drive innovation and efficiency.  They will help to drive adoption of AI capabilities across the business by being the conduit between the technical teams and the business.

Responsibilities include:

• Partner with business and product teams to identify, co-develop, and validate high-impact use cases
• Lead Applied AI MVP and prototype delivery in close collaboration with data scientists, engineers, and UX
• Drive adoption of AI Enablement capabilities, GenAI productivity tools, and reusable components across business teams
• Champion responsible, explainable, and user-centered AI in all applied solutions