AI Transformation Product Manager

About the role

Applied Materials is hiring an AI Transformation Product Manager in Rehovot to join the GenAI Core Team, which drives a corporate initiative to improve productivity through AI adoption, starting with software and spreading across R&D. The role validates AI productivity playbooks across product groups, tracks adoption metrics, gathers stakeholder feedback and connects insights to opportunities and gaps in the GenAI transformation.

Key responsibilities

• Create and maintain productivity heat maps per product, identify gaps between current practice and productivity goals, and surface missing capabilities or process improvements.
• Gather feedback from managers, team leads and product stakeholders, synthesize patterns and escalate issues to leadership.
• Track adoption of playbooks through dashboards and scorecards, monitor products against acceptance criteria and give regular status updates.
• Work with managers, team leaders, product managers and engineers to facilitate adoption, organize hackathons and adoption events, and ensure alignment on productivity goals.
• Validate implementation of playbooks across product groups and synthesize feedback to surface opportunities for new playbooks or tools.

Required profile

• B.Sc. in Computer Science, Engineering, Business or a related field; MBA is an advantage.
• 8+ years of professional experience with demonstrated project management skills.
• Technical background and previous transformation experience; AI is an advantage.
• Proven track record of executing initiatives with minimal supervision.
• Experience collaborating with diverse stakeholders and influencing without direct authority.
• Ability to quickly learn technical concepts and adapt to new tools and methodologies.

Required skills

• Data literacy: analyzing metrics, interpreting dashboards and extracting data from ticketing systems, project management tools and data sources.
• Hands-on experience with GenAI tools, including building small projects or prototypes with them.
• Analytics or data visualization experience is an advantage.