CDW is a leading multi-brand provider of information technology solutions, and they are seeking a Technical Product Manager - AI Agents to partner with business units in identifying opportunities for AI. The role involves building AI agents, training coworkers, and fostering a culture of experimentation and continuous learning within the organization.
Responsibilities:
- 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
- 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
- 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
- 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
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
- Proven experience building and delivering AI-powered solutions (agents, workflows, AI integrated software), including hands-on work with LLMs and AI agent platforms (e.g., Microsoft 365 Copilot Studio, Azure AI Foundry, N8N, Claude Code, others)
- Strong background in product lifecycle management, solution discovery, and agile development methodologies
- 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