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## About the role
Lead product execution for AI innovation initiatives across Mojang Studios. Own executive-level communication for AI projects, incubation work, opportunities, risks, and progress. Drive stakeholder alignment across technical and non-technical teams, ensuring AI initiatives are clearly framed, responsibly scoped, and connected to measurable studio outcomes. Help define, prioritize, and deliver internal AI tooling that improves studio efficiency, creativity, and operational effectiveness. Support AI education and training programs for both technical and non-technical employees. Lead change management efforts that help teams adopt new AI tools, workflows, and practices with confidence. Own or coordinate the technical setup, access, and management of AI hardware and incubation environments. Stay current on AI industry trends, emerging models, tooling, developer workflows, and enterprise adoption patterns. Operate with high autonomy in ambiguous spaces, turning emerging technology opportunities into practical plans, prototypes, and shipped outcomes.
## Requirements
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development
- Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience
- 6+ years experience improving product, adoption, usage, efficiency, or business metrics for a product, feature, platform or internal tool
- 6+ years experience disrupting, transforming, or modernizing a product area, workflow, market, or internal operating model through new technology
- 4+ years experience taking a product, feature, or experience to market, including internal tools, platforms, frameworks, or incubation products
- 3+ years experience working with AI, ML, developer tooling, platform products, emerging technologies, or technically complex product areas
- 3+ years experience driving cross-functional stakeholder alignment, executive communication, or change management for new technology adoption
- Proven technical fluency in AI tools, models, systems, AI-assisted development workflows, and current industry trends
- Ability to translate complex technical AI concepts into business value for executives, engineering teams, and non-technical stakeholders
- Experience partnering with engineering, data science, research, product, and external partner teams to define, prototype, launch, and scale AI-powered solutions
- Stakeholder management skills across 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
- Experience in a prior technical role, such as software engineering, data science, applied AI, technical program management, or technical product management
- 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
## Nice to have
- Experience in a prior technical role, such as software engineering, data science, applied AI, technical program management, or technical product management
- 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
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