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Parts Town · 17 hours ago

Senior Product Manager (Data Agentic and GenAI)

DuPage County, IL

Full-time

Hybrid

Mid, Senior Level

$122K/yr - $183K/yr

5+ years exp

Parts Town is the fastest-growing distributor of restaurant equipment and parts, and they are seeking a Senior Product Manager to define and deliver AI-driven workflows. The role involves managing the roadmap for agentic and generative AI workflows, collaborating with cross-functional teams, and ensuring solutions align with enterprise architecture and governance standards.

CookingFood ProcessingLogisticsRestaurantsSupply Chain Management

Responsibilities

Define and manage the roadmap for agentic and generative AI workflows, aligned to Parts Town’s digital and data strategy

Identify and prioritize use cases where intelligent agents can improve operational efficiency, cost, and customer experience

Translate business challenges into actionable automation opportunities with measurable outcomes

Design, develop, and deploy agentic workflows and GenAI solutions using workflow orchestration and AI platforms (e.g., n8n, MindStudio, GCP Vertex AI, or equivalent)

Combine reasoning (LLMs), retrieval (RAG), and action (API execution) into integrated, scalable workflows

Deliver production-grade solutions that are secure, monitored, and reliable — not just proof-of-concepts

Integrate AI-driven capabilities across key platforms including ERPs (such as SAP RISE), CRM, WMS, and eCommerce systems

Partner with Data Engineering, Platform, and Product teams to ensure solutions align with enterprise architecture, integration standards, and governance

Work closely with MLOps teams to deploy and monitor AI workflows in production

Collaborate with business stakeholders to validate impact and drive adoption across teams

Participate in the Data Council to ensure use cases align with enterprise data strategy, governance, and compliance

Inform and advise the Executive AI Council on agentic workflow priorities, results, and emerging opportunities

Ensure adherence to Parts Town’s AI governance, privacy, and data security standards, including transparency and responsible use of GenAI

Define success metrics (e.g., time saved, accuracy, SLA improvement, ROI) for all deployed workflows

Analyze performance data and user feedback to optimize and expand AI capabilities

Build reusable components, templates, and orchestration patterns for future scaling

Explore emerging frameworks for agentic AI (e.g., LangChain, CrewAI, Microsoft Autogen) and evaluate applicability for enterprise use

Evangelize AI and automation best practices across teams, enabling broader adoption and capability building

Stay current with industry trends in GenAI, orchestration, and applied AI technologies

Qualification

AI-driven automationGenAI workflowsCloud AI ecosystemsERP environmentsWorkflow orchestrationAnalytical skillsProblem-solving skillsStorytelling skillsCollaboration