Director, Product Management, AI Platform, Kroger Precision Marketing; P4644
Listed on 2026-07-03
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Business
AI Business & Operations -
IT/Tech
AI Business & Operations
Director, Product Management, AI Platform, Kroger Precision Marketing
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Role SummaryKroger Precision Marketing (KPM) has launched an AI Platform domain to define how AI is built, scaled, and used across internal teams and external brand-facing platforms. This is a high-impact opportunity to shape how KPM does AI: setting the vision, strategy, and operating model that help product teams turn emerging technology into practical, trusted, production-ready capabilities.
The AI Platform domain brings that strategy to life by consulting with teams on shared resources, standards, guardrails, best practices, and upskilling; accelerating innovation by building early capabilities on behalf of teams before transitioning long-term ownership; and operationalizing reusable skills, tools, access layers, and delivery patterns that reduce the path from idea to production-ready launch. This leader will have the trust and autonomy to shape strategy, take thoughtful creative bets, iterate quickly, and build the operating model needed to make AI a durable advantage for KPM.
Key Responsibilities- Set the AI vision: define the product vision and strategy for how AI shows up across KPM, anchored in customer value, commercial impact, responsible delivery, and long-term platform leverage
- Lead the domain portfolio: manage multiple product teams across the AI Platform domain, ensuring roadmaps ladder to shared outcomes, clear sequencing, and the highest-value bets
- Coach product leaders: develop Product Managers by helping them shape team vision, set 18-month roadmaps, clarify outcome metrics, and make stronger prioritization and tradeoff decisions
- Define domain outcomes: establish measurable outcomes that Product, Engineering, Design, Data Science, Commercial, and Strategy teams can align around and use to guide planning and execution
- Build the operating system: create repeatable systems, standards, and decision frameworks that help KPM teams develop AI products quickly, consistently, and safely
- Scale reusable capabilities: guide investment in shared AI capabilities, skills, patterns, evaluation methods, and tooling that reduce duplication and accelerate product teams across the business
- Shape go-to-market strategy: partner with Commercial and Strategy leaders to ensure product strategy informs go-to-market motions, while market needs, customer priorities, and commercial goals shape roadmap decisions
- Align technical direction: partner with Engineering, Data Science, and Architecture leaders to define requirements, evaluate technical options, and make decisions based on risks, tradeoffs, opportunities, scalability, and platform fit
- Coordinate across product domains: partner with peer Product Directors to align roadmaps, clarify ownership, manage dependencies, and ensure broader KPM outcomes are pursued cohesively across domains
- Stay ahead of the market: track emerging AI strategy, retail media innovation, competitive moves, and vendor capabilities, then translate that signal into a differentiated niche KPM can credibly pursue
- Make smart portfolio tradeoffs: balance customer needs, business value, technical readiness, risk, cost, and reuse potential to decide what to accelerate, pause, partner on, or stop
- Drive adoption and impact: build a productionized AI engine by shipping new capabilities, iterating on released features, defining rollout plans, establishing success measures, and creating feedback loops that continuously improve quality, adoption, and business impact
- Tell the strategic story: communicate the AI portfolio narrative, progress, risks, tradeoffs, and decisions with clarity for executives, cross-functional leaders, and delivery teams
- Build a high-trust culture: create an environment where teams move fast, learn quickly, challenge assumptions, and stay accountable to shared outcomes
- Product leadership: 6-10+ years of product management experience, including experience leading multiple product teams, domains, or complex product portfolios
- Degree Requirements: Bachelor's degree or equivalent experience.
- B2B software experience: experience leading B2B software products,…
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