Product Manager - AI Agents

CDW

About The Position

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. Job summary We are seeking a Product Manager - AI Agents to serve in a consultant-like role embedded within business units. In this position, you will partner directly with business stakeholders to discover high-value opportunities, build version-one AI agents, and train coworkers to use and create AI solutions themselves. This is a hands-on role designed to accelerate adoption of AI across the enterprise through real-world use cases, rapid experimentation, and direct enablement. The ideal candidate is a forward-thinking innovator who experiments fearlessly with new AI models and tools, learns quickly, and brings curiosity and creativity to solving business problems. You’ll act as both a builder and an educator — ensuring business units not only get impactful AI solutions but also gain the skills to continue innovating on their own.

Requirements

Bachelor’s degree and 7 years of product management, consulting, or technology experience OR 11 years of product management, consulting, or technology experience.
Strong background in solution discovery and rapid prototyping.
Demonstrated history of partnering with business units to identify opportunities, facilitate solution discovery, and translate stakeholder needs into actionable requirements for technology initiatives.
Proven track record of acting as a consultant to internal teams, guiding the adoption of new technologies and leading workshops or consultations to explore use cases for AI
Curiosity and passion for experimenting with AI models and tools; quick learner who thrives in ambiguity.
Strong skills in communication, influence, stakeholder management, and relationship-building to drive consensus and adoption of AI-driven solutions.
Working knowledge of AI and machine learning concepts, frameworks, and tools, with the ability to evaluate and experiment with emerging models and technologies for practical use.

Responsibilities

Business Engagement Partner with business units to surface pain points and opportunities for AI agents.
Translate business needs into clear requirements and prototypes.
Act as a trusted consultant and guide for stakeholders on AI possibilities.
Agent Building & Delivery Rapidly design and deliver version-one AI agents tailored to business unit needs.
Collaborate with AI Engineers, data teams, and platform teams to ensure scalable solutions.
Document, test, and refine agent solutions based on feedback and adoption.
Enablement & Training Train and mentor coworkers within business units to become AI agent builders themselves.
Develop playbooks, best practices, and lightweight training materials.
Foster a culture of curiosity, experimentation, and continuous learning.
Experimentation & Innovation Explore emerging AI models, tools, and frameworks; bring forward innovative applications.
Continuously evaluate how new AI capabilities can solve real-world business challenges.
Advocate for responsible and scalable use of AI across the enterprise.