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

Qualification

Product leadershipDegree RequirementsPortfolio strategyPeople leadershipAI expertiseCommercial partnershipTechnical partnershipCross-domain alignmentProduct judgment and measurementSystems thinkingExecutive communicationMarket awareness

Required

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.
Portfolio strategy: ability to set long-term direction, connect multiple team roadmaps into a coherent 18-month portfolio plan, and make tradeoffs across competing priorities
People leadership: experience coaching Product Managers, raising the quality of roadmaps, improving decision-making, and helping teams translate strategy into clear outcomes and execution plans
AI expertise: deep understanding of GenAI, AI/ML product development, retrieval-augmented generation (RAG), model context protocol (MCP), agent patterns and skills, agent-to-agent interactions, data readiness, model development, evaluation, deployment, monitoring, governance, responsible AI practices, quality controls, and safety guardrails, with the technical judgment to shape vision, guide architecture tradeoffs, and challenge assumptions across Product, Engineering, and Data Science
Commercial partnership: proven ability to partner with Commercial and Strategy leaders to shape how product strategy informs go-to-market strategy, and how market needs, customer priorities, and commercial goals shape product direction
Technical partnership: deep experience partnering with Engineering, Data Science, and Architecture leaders to define product requirements, evaluate technical architecture options, and make decisions based on risks, tradeoffs, opportunities, scalability, and long-term platform fit
Cross-domain alignment: experience partnering with peer Product Directors to coordinate roadmap dependencies, clarify ownership across domains, sequence when roadmaps come together, and ensure broader KPM outcomes are pursued cohesively across connected product areas
Product judgment and measurement: ability to combine strong product intuition with evidence from product analytics, user research, customer feedback, experimentation, and portfolio-level success metrics, using data to pressure-test decisions, identify what teams should chase next, and build a compelling case for why it matters
Systems thinking: ability to design scalable operating models, reusable product patterns, and governance mechanisms that help teams build AI faster, with more consistency and trust
Executive communication: ability to translate complex product, technical, and commercial topics into clear recommendations, risks, decisions, and strategic narratives
Market awareness: ability to translate AI trends, competitive moves, and emerging capabilities into a differentiated strategy for KPM

Preferred

B2B software experience: experience leading B2B software products, ideally platform products that serve multiple product teams, business users, or enterprise customer groups
Industry depth: familiarity with retail analytics, retail media, adtech, data-driven marketing platforms, and the commercial models that support them
Technical background: direct experience in Engineering, Data Science, Architecture, or another technical discipline is preferred, as it strengthens empathy, credibility, and decision quality when working through complex technical choices
Pay Transparency and Benefits
The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.

Director, Product Management, AI Platform, Kroger Precision Marketing (P4644) at 8451 · LumiJobs

Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

8451

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