Sr Product Manager-Agentic Delivery

Lowe's Companies, Inc.•Charlotte, NC

About The Position

The Sr Product Manager owns the vision, strategy, roadmap, and feature definition for large cross-functional or highly complex products. The role plans and manages products and features through development, manages product-group backlogs, prioritizes work, and makes product decisions based on customer and stakeholder needs. It identifies and manages projects autonomously, oversees multiple product designs, and partners with the business to understand pain points and develop go-to-market strategy. The position drives product direction and execution, aligns product OKRs with portfolio and organizational objectives, defines customer experiences, evaluates competitive trends, and identifies opportunities for innovation. It leads agile ceremonies, supports continuous learning and improvement, and works with teams to ensure products are usable, viable, and feasible. The Sr Product Manager builds advocacy and influence with product teams, business partners, and directors; contributes to product marketing and market-fit strategies; and uses data, analytics, and product metrics to measure product health and business impact. This role focuses on agentic delivery and enterprise AI products. It involves translating business problems into AI and agentic solutions, designing workflows and controls, guiding solutions from discovery through production and optimization, and collaborating across technical, business, and governance teams to deliver measurable outcomes.

Requirements

Experience building, launching, or managing AI-powered products, agents, copilots, intelligent automation, or Generative AI solutions in an enterprise environment.
Bachelor’s degree in business, marketing, engineering, communications, or a related field, or equivalent years of experience in lieu of the education requirement, if applicable.
5 years of experience in two or more of the following: project management, product management, business analysis, program management, experimentation, or product marketing.
3 years of experience in product and/or experience management.
Experience in an agile software environment and strong writing ability.
Experience working cross-functionally in a large organization with senior leadership.
Experience working closely with senior leadership.
Experience translating data into quantifiable actions or deliverables.

Nice To Haves

3+ years of experience with AI-powered products, platforms, agents, copilots, or intelligent automation solutions.
Demonstrated ability to translate business problems into AI and agentic solutions, including automation, human-in-the-loop controls, workflow orchestration, and measurable outcomes.
Experience designing or product-managing agentic workflows, including agent intent, planning, tool calling, multi-step task execution, context or memory, routing, handoffs, escalation, and exception handling.
Experience with Generative AI and LLM-based applications, including system prompt design, retrieval-augmented generation (RAG), response evaluation, guardrails, and iterative quality improvement.
Experience defining AI evaluation frameworks and success metrics for accuracy, task completion, reliability, adoption, user experience, cost, and business impact.
Experience partnering with Engineering and Architecture on APIs, integrations, identity and authentication, enterprise data access, and orchestration layers that enable agents to take action across systems.
Working knowledge of Model Context Protocol (MCP), Agent-to-Agent (A2A) patterns, or similar agent interoperability approaches.
Experience with agent development platforms, low-code/no-code orchestration platforms, or agent development frameworks such as UnifyApps or similar technologies.
Experience taking AI solutions from discovery and prototype through pilot, production launch, and ongoing optimization.
Experience evaluating AI solutions for security, privacy, compliance, bias and fairness, explainability, auditability, and enterprise readiness.
Ability to redesign end-to-end workflows around AI, determining what agents should handle versus humans rather than simply automating existing processes.
Experience working across Product, Engineering, Architecture, Security, Data, Legal, Risk, and business teams to deliver enterprise AI solutions.
Ability to drive outcome-based AI product management with measurable business value, adoption, productivity, quality, and user experience improvements.

Responsibilities

Drive product vision and direction, aligning delivered product value with objectives and key results (OKRs).
Drive product execution through proactive collaboration with relevant cross-functional teams.
Develop product OKRs that support portfolio and organizational OKRs and align them with business partners.
Work with product managers and business leaders to evaluate trade-offs and prioritize features according to product vision.
Establish feature-design trade-offs that support critical and mass adoption.
Define customer and user experiences with domain-level product impact.
Understand competitive trends and identify opportunities for innovative customer experiences.
Lead agile ceremonies, clarify expectations for the team, and enable the scrum team to learn and improve continuously.
Ensure products are usable, viable, and feasible; prioritize effectively and communicate user value delivered against the roadmap.
Build product advocacy and influence across product teams, business partners, and directors.
Serve as a product expert, influence product direction, and align partner work needed to achieve product value.
Participate in product marketing and provide input to product market-fit strategies.
Own and drive product plans for a defined product scope, using data to build alignment.
Define analytics objectives and data needs independently or with business partners, and leverage product analytics and insights.
Define product metrics, monitor product health and business impact, and partner with engineering to establish tracking and monitoring.
Translate business problems into AI and agentic solutions, including workflow design, automation, human-in-the-loop controls, orchestration, and measurable outcomes.
Guide AI solutions from discovery and prototype through pilot, production launch, and ongoing optimization.
Collaborate with Engineering, Architecture, Security, Data, Legal, Risk, business teams, and other partners to deliver enterprise AI solutions.