Product Manager Lead - Enterprise AI Platform
Full-Time / Permanent
Location: downtown Chicago; HYBRID (3 days onsite per week)
Overview
- Lead the product management and enterprise administration of third-party AI platforms, initially focused on solutions such as ChatGPT and Claude.
- Own the strategy, adoption, governance, and ongoing optimization of enterprise AI platforms rather than developing proprietary AI products.
- Operate as an individual contributor within a broader technology organization supporting data, governance, engineering, and internally developed products.
Responsibilities
- Own and administer enterprise AI platforms, including configuration, platform capabilities, adoption, and ongoing optimization.
- Develop and maintain product roadmaps and priorities for enterprise AI platforms.
- Evaluate new AI products, features, vendors, integrations, and emerging technologies.
- Assess AI use cases and stakeholder requests to determine enterprise applicability, scalability, value, and readiness.
- Prioritize competing requests and opportunities and make clear, data-informed recommendations.
- Manage relationships with AI technology vendors and support vendor evaluations and selection.
- Partner with technical teams and stakeholders on APIs, integrations, architecture, data flows, and platform connectivity.
- Understand and evaluate emerging technologies such as Model Context Protocol (MCP) connectors and related integration patterns.
- Support enterprise AI governance, risk, and approval processes in partnership with relevant stakeholders.
- Develop training, enablement, and adoption materials to help users effectively leverage enterprise AI capabilities.
Required
- Bachelor's degree in Information Technology, Computer Science, Engineering, or a related technical field.
- 3+ years of product management or product ownership experience.
- Experience managing enterprise technology products or platforms within IT, data, or AI.
- Hands-on experience owning, administering, or managing technology platforms.
- Practical familiarity with AI and generative AI tools; conceptual knowledge alone is not sufficient.
- Experience evaluating technology vendors and solutions.
- Experience working within Agile and/or modern product management environments.
- Strong technical fluency, including an understanding of:
- APIs and integrations
- Technical architecture
- Data flows
- Platform connectivity
- Model Context Protocol (MCP) connectors
- Strong stakeholder management, communication, and prioritization skills.
- Ability to evaluate technical concepts and business needs and translate them into clear product recommendations.