Lead Product Manager - AI Platforms Kroger Precision Marketing (P898)
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°!
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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. Kroger Precision Marketing (KPM) is our commercial arm, enabling brands to connect with customers through insights, incentives, and media.
Role Summary
Kroger 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 Senior Product Manager role leads a cross-functional team across Data Science and Engineering and owns the roadmap for the shared foundation that helps KPM teams build trusted agents at scale. The north star for this foundation is to reduce the time and cost of building new AI capabilities by turning common infrastructure, context, tooling, and governance into reusable platform services. This foundation is what makes a unified KPM AI experience possible — one assistant, across every platform, workflow, and team, built once and delivered everywhere.
The work spans two layers. The infrastructure layer includes enterprise agent development and deployment patterns, shared chat and notification experiences, Agent-to-Agent (A2A) interactions, and Model Context Protocol (MCP) infrastructure. The intelligence and quality layer includes context-layer capabilities, agent reasoning and evaluation, LLM observability, feedback loop design, product analytics, and governance.
The role partners with the AI Platform Director to connect these capabilities to the broader domain vision while creating practical, reusable platform services that teams can build on without reinventing the same foundations.
Key Responsibilities
- Own the platform roadmap: translate the AI Platform vision into a clear roadmap, proactively define plans to move the work forward, and sequence foundational capabilities based on customer needs, business value, technical readiness, risk, cost, and reuse potential
- Scale reusable AI foundations: own shared agent infrastructure, context-layer capabilities, deployment patterns, tooling, and standards that help teams build new AI capabilities faster without duplicating platform wiring
- Know your builders: partner with product and agent builders to understand how they work, where they are blocked, and what shared capabilities would unlock the most value across the portfolio
- Pick the right bets: identify the highest-leverage platform investments, make explicit tradeoffs, and focus the team on the capabilities that unlock the most reuse, adoption, and downstream product impact
- Lead with market-informed judgment: stay current on AI trends, vendors, and competitor moves; form a clear point of view; seek input early; and adjust quickly when evidence points to a better approach
- Ship with momentum: drive delivery with Agile Delivery, Data Science, and Engineering by managing scope, dependencies, risks, tradeoffs, and timelines
- Drive adoption, quality, and impact: define rollout plans, success measures, agent quality evaluations, observability signals, and feedback loops that improve reliability, adoption, and business impact
- Enable the organization: educate teams on the platform, how to use it, and where it is going; rally stakeholders around the shared vision; and create the forums, documentation, and lightweight processes that help builders adopt the platform consistently
- Communicate clearly and build trust: communicate plans, progress, tradeoffs, risks, and decisions with clarity; raise issues early with context and options; and earn trust through strong follow-through and reliable decision-making
Minimum Qualifications
- Product management: 3–5 years of product management experience
- GenAI product delivery and quality: strong understanding of how LLM-powered and agentic products move from prototype to production, including prompt and context design, RAG, orchestration, tool integration, evaluation frameworks, LLM observability, feedback loops, governance, and rollout
- Platform and builder mindset: experience building shared platforms, internal developer tools, or reusable capabilities where product and engineering teams are the primary customers
- Stakeholder intake and roadmap tradeoffs: experience gathering needs from multiple stakeholders, reconciling competing priorities, and sequencing shared platform work under resource constraints
- Technical fluency: background in engineering, data science, analytics, or a highly technical product area, with the ability to go deep on architecture and delivery tradeoffs
- Communication: ability to translate technical complexity into clear decisions, tradeoffs, risks, and recommendations for business and technical audiences
- Leadership: a humble, direct leadership style, comfortable saying “I don’t know,” and confident leading toward an answer
- Operating judgment: ability to move quickly while respecting security, governance, and enterprise delivery standards
Preferred Qualifications
- B2B platform: experience building products for large, diverse internal or external user bases
- Industry: familiarity with retail analytics, retail media, adtech, and data-driven marketing platforms
- Experimentation and measurement: product analytics experience defining success metrics, selecting the right measures for the job (for example, using Google’s HEART framework), and running experiments to quantify user and business impact
- AI evaluation and observability: familiarity with LLM evaluation frameworks, agent quality measurement, AI observability tooling, or feedback loop design
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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.
- Happiness: 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.
Skills
As published by greenhouse · 23 questions · 4 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (5)
- Preferred First Name
- How did you first learn about 84.51° and this position?
- Who is your current employer?
- LinkedIn Profile
- Website or Portfolio optional
Pick from a list (14)
- What state do you permanently reside in?
- Which work location would you prefer?
- We have an in-office expectation for Monday-Friday and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies:
- Have you ever been employed by 84.51°?
- Are you or have you ever been employed by dunnhumby?
- Are you or have you ever been employed by Kroger Co.?
- Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51°?
- Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed.
- Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)?
- If you currently hold a visa, what type do you hold?
- California Applicant Privacy Notice
- The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation?
- As part of the hiring process, applications who receive an offer of employment may be asked to submit to a drug screen test to detect the presence of certain drugs or their metabolites. Offers are conditioned on passage of that test. If you are asked to submit to a drug test and you refuse to be tested, or you do not pass, 84.51° will revoke any offer of employment. All drug tests will be conducted in accordance with applicable federal and state law and will be done by way of urine collection and screening. Therapeutic levels of medically prescribed or over the counter medicines may lead to positive test results. If offered a position, would you be willing to be screened for illegal drug use in the next 24 hours?
- If offered a position, would you be willing to submit to a criminal background check, a previous employment verification check, and/or an education verification check?
Written answers (4)
- What is your current permanent address?
- Why are you interested in 84.51° and this position?
- What knowledge and skills do you bring to 84.51° to enable you for success?
- If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not. Please input N/A if you do not currently work for Kroger. optional