Lead Product Manager- Agentic SDLC/ Claude Code (P4170)

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°! __________________________________________________________ The AI Enablement team builds foundational AI capabilities that transform Kroger and 84.51°. The AI SDLC Team focuses on evolving how software is built across the enterprise by leveraging AI-powered development tools, frameworks, and best practices. As the Lead Product Manager, you will own the product strategy and execution for AI-powered software development tools and SDLC transformation. You will work closely with business stakeholders, software engineers, data scientists, and cross-functional teams to understand their needs, enable teams with reusable tools and patterns, and drive the evolution of the enterprise SDLC through AI. 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 Own and drive the product roadmap, backlog prioritization, and value delivery for AI-powered SDLC tooling and strategy. Partner with business stakeholders, engineers, and data scientists to identify opportunities to improve the SDLC using AI. Translate business needs and developer workflows into product requirements, epics, and user stories. Define and deliver scalable tools, frameworks, and repeatable patterns that enable teams to adopt AI in their development workflows. Work closely with engineering, UX, and data science teams to deliver high-quality, impactful solutions. Manage multiple backlogs and priorities across cross-functional teams in an agile environment. Define success metrics and measure adoption, value realization, and efficiency improvements across the SDLC. Communicate product strategy, progress, risks, and outcomes to stakeholders at all levels. Drive continuous discovery through stakeholder interviews, research, and analysis of user workflows. Ensure alignment with governance, security, and responsible AI practices. Qualifications, Skills, and Experience Professional work experience in artificial intelligence or generative AI applications. Experience managing or developing products or…