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.

Join us at 84.51°!

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Lead Product Manager – Agentic Foundations; HM: Mark Roepke P4476

LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Lead Product Manager for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Lead Product Manager will discover, prioritize, plan the development of agentic capabilities and tooling – this could include agent/MCP/scorer/prompt registries, evaluation and monitoring tools, and low-code/no-code agent platforms. The role will partner closely with engineering and data science leads to shape the roadmap, translate business and technical needs into clear requirements, and ensure the delivery of high-value, enterprise-grade capabilities that reduce time-to-value, improve quality and reliability, and promote safe, compliant use of agentic systems.

RESPONSIBILITIES:

Own product discovery and roadmap for products in the Agentic Foundations area
Maintain a current roadmap and communicate trade-offs, dependencies, and timelines to stakeholders and delivery teams
Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria with a clear definition of done
Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
Define and evolve core agentic capabilities, including:
- Registries (agent/MCP/scorer/prompt), templates, and pattern libraries
- Agent development and monitoring tools, including evaluation frameworks and observability
- Low-code/no-code agent platforms and SDKs/APIs/UIs that abstract complexity
- Integration with enterprise AIOps/MLOps, CI/CD, and governance workflows
Facilitate user research and testing to understand developer and business user workflows; validate usability, safety, reliability, and performance
Analyze product usage and operational data to inform prioritization, measure value, and guide iteration
Drive adoption across customer teams through documentation, enablement, demos, and feedback loops; remove friction points and champion best practice
Ensure alignment with enterprise strategies for scale, reliability, safety, compliance, and cost-efficiency
Manage progress toward objectives; proactively surface risks, blocks, and cross-team dependencies; coordinate mitigation plans
Develop strong internal and external stakeholder relationships; influence and drive change in ambiguous, evolving environments
Communicate realized value and outcomes, including usage, adoption, productivity improvements, and risk reduction

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Professional experience in agentic systems and platforms
Professional experience in a product/software development team
Professional experience in managing technical and business stakeholders
Professional experience in ambiguous environments
Skilled in a general technical acumen, able to efficiently converse with software engineers and AI engineers and understand their development processes
Skilled in managing cross-functional technical development teams in an agile environment
Skilled in managing business priorities against design/user needs while delivering against product roadmaps
Skilled in managing end-to-end software product development
Skilled in problem solving, analytic thinking, and creativity
Skilled in planning, organization, and verbal/written business communication
Skilled in maintaining a positive leader persona in ambiguous and changing environments
Skilled in quickly flexing between technical and business stakeholder conversations, adapting to a variety of audiences
Demonstrated excellence as a teammate and leader
4-6 years relevant experience
Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

#LI-SSS

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.

Pay Range

$121,000—$201,250 USD

Lead Product Manager - Agentic Foundations (P4476)

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