Lead Product Manager -AI Interaction Team (P4350)

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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The AI Enablement Interaction team designs and operates a unified interaction layer between users and our AI Enablement program—helping people across 84.51° and Kroger intuitively discover, understand, and apply AI capabilities in the tools and workflows they already use. We build and evolve the two-way system that connects users to AI guidance while generating the signals our product teams need to continuously improve adoption, prioritization, and value realization.

As the LEAD PRODUCT MANAGER for AI Enablement Interaction, you'll own the product roadmap for our user-facing interaction layer—including our web-based AI knowledge hub and the broader ecosystem of experiences that connect users to AI capabilities. You'll serve as an AI subject matter expert for the program, translating complex technical strategy into intuitive, accessible user experiences. This role sits at the intersection of product management, AI fluency, and stakeholder navigation, and requires someone who is as comfortable discussing RAG pipelines and agent frameworks as they are building a product roadmap or presenting to senior leadership.

• Hands-on experience working with AI tools and products—including practical familiarity with concepts such as agents, RAG, fine-tuning, and tools like Claude Code and Microsoft Copilot; ability to apply this knowledge to inform product and experience decisions
• Professional experience in product management, including roadmap ownership, backlog prioritization, and end-to-end product lifecycle management
• Skilled in navigating complex, multi-stakeholder environments and building relationships that influence and drive change at all levels of an organization
• Skilled in managing cross-functional teams—including UX designers and software engineers—in an Agile environment
• Strong technical acumen; able to converse fluently with data scientists, engineers, and architects and translate complex technical concepts for non-technical audiences
• Analytical mindset with experience using engagement analytics, user feedback, and performance metrics to drive product decisions
• Exceptional verbal and written communication skills, including the ability to develop compelling storytelling and content strategies
• Comfort with ambiguity—remains confident, resourceful, and positive when navigating evolving priorities and unexpected outcomes
• Problem solving, critical thinking, and strong planning and organizational skills
• 4–6 years of relevant experience
• Bachelor's degree or equivalent experience

#LI-EB1

• →Own and drive the product roadmap for the AI Enablement interaction layer, prioritizing enhancements and new experiences that help users discover, understand, and apply AI capabilities across the enterprise.
• →Partner closely with Lead UX and a cross-functional design team to deliver cohesive, user-first experiences across all interaction touchpoints—ensuring consistency, intuitiveness, and quality across the program.
• →Serve as an AI subject matter expert for the program—fielding and directing a wide variety of AI-related questions, providing high-level support, and translating technical AI concepts (e.g. agents, RAG, fine-tuning, Claude Code) into clear, actionable guidance for users and stakeholders.
• →Act as content thought leader for the program, shaping how AI guidance, standards, and capabilities are communicated and experienced across the organization.
• →Funnel AI Enablement leadership needs into the right interaction surfaces—whether that's a Hub experience, storytelling assets, release communications, or other formats—ensuring consistent and high-quality program representation.
• →Leverage user engagement analytics, feedback, and usage signals to inform product decisions and continuously optimize the interaction layer to better meet user needs and deliver measurable outcomes.
• →Build strong relationships with leadership and key stakeholders across a complex organizational landscape, communicating product vision, progress, and priorities while gathering input to inform strategic decisions.
• →Outline clear product requirements and acceptance criteria, partnering with cross-functional technical leads to translate the roadmap into effective sprint and cycle plans ready for development and delivery.
• →Proactively identify, manage, and communicate dependencies and risks across teams and initiatives, developing mitigation strategies to protect roadmap delivery.
• →Develop and lead an AI Community of Practice, re-imagining how users across the enterprise engage with, share, and learn from AI capabilities and each other.