The Role: The SaaS Collaboration Engineering Team within GM’s Core IT organization is looking for a Staff level Product Managers. Responsible for managing a distinct set of IT tools focused on Enterprise AI Tools. The successful candidate will demonstrate the ability to own the end-to-end product lifecycle for their suite of designated tools. Each will partner with key senior stakeholders to deliver modern, intuitive and scalable experiences while ensuring strong governance, measurable value, and high adoption across a global, diverse workforce. What You’ll Do: Product Strategy & Leadership Define and own the long-term product vision and multi-year roadmap for GM’s Core IT Enterprise AI tools. Translate IT strategies into prioritized product outcomes, clear use cases, and measurable business value. Serve as a thought leader influencing product direction and strategy. Collaborate closely with engineering, UX, change management, and operations to ensure on-time, high-quality delivery and resilient, supportable solutions. Executive & Business Partnership Partner with senior leaders to shape strategy, clarify priorities, and align on desired outcomes and success metrics. Lead discovery and framing of complex problems, synthesizing user research, analytics, and stakeholder input into clear problem statements and solution approaches. Influence decision-making across collaboration, infrastructure, data, security, legal, and compliance stakeholders, driving consensus on roadmap, investment, and risk posture. Vendor & Platform Strategy Manage strategic relationships with vendors and key partners. Lead fit-gap analysis, build-vs-buy decisions, and business cases for new capabilities and platform investments. Drive vendor accountability for roadmap alignment, delivery quality, security, innovation, and value realization, including SLAs and performance metrics. Monitor the external market for technologies, identifying opportunities to pilot and scale new capabilities. Value Realization & Optimization Define and track KPIs to measure adoption, engagement, quality, productivity, and impact (e.g., time saved, reduced manual effort, improved decision speed). Use analytics, user feedback, and experimentation to continuously optimize product performance and user experience. Proactively identify low-value, redundant, or underused tools and features and lead efforts to rationalize, simplify, or retire them. Employee Digital Experience Leadership Champion a consistent, intuitive, and personalized employee and manager experience across platforms and endpoints (desktop, mobile, web). Partner with UX, change management, and communications teams to design user-centric experiences and drive awareness, adoption, and sustained behavior change. Ensure solutions scale globally, support diverse workstyles (remote, hybrid, on-site), and meet accessibility and localization needs.
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Job Type
Full-time
Career Level
Mid Level