Lead Technical Product Manager - Agent Platform (P4476)
Role summary
84.51° is seeking a Lead Technical Product Manager for its Agent Platform team, responsible for the AI foundation of the Kroger enterprise. This role will own product discovery, roadmap planning, and the translation of business and technical needs into clear requirements for agentic systems. Key responsibilities include defining platform capabilities like registries, development tools, and integration with enterprise workflows. The Lead PM will partner closely with engineering and data science to ensure high-value, enterprise-grade delivery, focusing on reducing time-to-value, improving quality, and promoting safe, compliant use of AI. The position requires strong technical acumen, stakeholder management, and experience in ambiguous, agile environments.
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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Lead Technical Product Manager – Agent Platform
LOCATION: Cincinnati / Chicago (P4476)
SUMMARY:
The AI Enablement team at 84.51° is seeking a Lead Product Manager for its Agent Platform team. This team is responsible for architecting, implementing, maintaining, and supporting the use of the agentic foundation of the Kroger enterprise.
The Lead Product Manager will discover, prioritize, plan the implementation of the agent platform – this could include: a control layer consisting of agent, MCP, eval, and prompt registries; evaluation and monitoring tools; and pro-code, low-code, and no-code development capabilities. 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 the managed agent platform
- 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 platform capabilities, including:
- Registries (agent/MCP/scorer/prompt), templates, and pattern libraries
- Agent development and monitoring tools, including evaluation frameworks and observability
- Integration with data and API layers and pro-code agent frameworks
- 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 leading enterprise AI, ML, or data 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
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