Senior AI Product Manager, Minecraft

Partner with teams and business leaders to understand their needs, identify relevant AI tools, and support adoption of approved capabilities that deliver practical value. Develop and maintain AI learning resources, coordinate training and demonstrations, and help technical and non-technical employees use AI confidently and responsibly. Identify opportunities to simplify or automate workflows, working with partner teams to define requirements, pilot solutions, and measure improvements in productivity, quality, or efficiency. Coordinate cross-functional AI projects by bringing together stakeholders, clarifying ownership, tracking progress and dependencies, and surfacing blockers to keep initiatives moving forward. Support the AI Team's planning and prioritization by organizing incoming requests, gathering user feedback and adoption insights, and sharing progress, reusable solutions, and lessons learned. Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience 5+ years experience translating complex technical AI concepts into business value for executives, engineering teams, and non-technical stakeholders with solid fluency in AI tools, models, systems, AI-assisted development workflows, and current industry trends 5+ years experience partnering with engineering, data science, research, product, and external partner teams to define, prototype, launch, and scale AI-powered solutions 5+ years experience in stakeholder management including senior leadership, technical teams, and cross-functional partners Demonstrated ability to educate and enable both technical and non-technical audiences on new technologies Experience operating in ambiguous, fast-moving, innovation-oriented environments Hands-on experience building, launching, or scaling AI-powered products, internal tools, prototypes, or incubation efforts Experience with GitHub Copilot, AI-assisted development, agentic workflows, model evaluation, developer productivity, or internal AI platforms Experience managing technical incubation environments, AI hardware, compute access, model access, or experimentation infrastructure Executive storytelling, written communication, and product strategy skills High-trust, high-autonomy ownership style with transparent communication and bias for action