84.51°
Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)
Cincinnati, OH; Chicago, IL · Director
Sponsorship not specified$162k-$262kDetected 38 days ago
Machine LearningData ScienceRAGA/B TestingUX ResearchProduct ManagementProduct StrategyResearchLeadershipCommunicationCollaborationMentoring
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 84.51° is a retail data science, insights and media company.
- Kroger Precision Marketing (KPM) is our commercial arm, enabling brands to connect with customers through insights, incentives, and media.
Responsibilities
- 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
- 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
- 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
- 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
Requirements
- 6-10+ years of product management experience, including experience leading multiple product teams, domains, or complex product portfolios
- Bachelor's degree or equivalent experience.
- ability to set long-term direction, connect multiple team roadmaps into a coherent 18-month portfolio plan, and make tradeoffs across competing priorities
- experience coaching Product Managers, raising the quality of roadmaps, improving decision-making, and helping teams translate strategy into clear outcomes and execution plans
- ability to translate complex product, technical, and commercial topics into clear recommendations, risks, decisions, and strategic narratives
- ability to translate AI trends, competitive moves, and emerging capabilities into a differentiated strategy for KPM
- 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
- 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
Nice to have
- B2B software experience: experience leading B2B software products, ideally platform products that serve multiple product teams, business users, or enterprise customer groups
- Wealth: 401(k) with Roth option and matching contribution.
- AD&D and supplemental insurance options to help ensure additional protection for you.
Compensation
- $162,000 - $262,200 USD
- Base Pay Range
Benefits
- Medical: with competitive plan designs and support for self-care, wellness and mental health.
- with in-network and out-of-network benefit.
- Health Savings Account with matching contribution (requires participation in qualifying medical plan).
- Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
- Paid leave for maternity, paternity and family care instances.
- 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
- 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
Company info
- 84.51° is a retail data science, insights, and media company that helps brands grow by delivering smarter, more accountable marketing powered by Kroger's first-party data.
- Build a high-trust culture: create an environment where teams move fast, learn quickly, challenge assumptions, and stay accountable to shared outcomes
This listing is sourced directly from 84.51°'s careers page and normalized into a canonical job model.