Senior Product Manager, GenAI (Operations)

KLA•Ann Arbor, MI

About The Position

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications Business Partnership & Problem Discovery Partner with Global Operations and functional business teams to deeply understand workflows, pain points, and improvement opportunities. Identify and prioritize business problems that can be effectively addressed through AI‑driven products and solutions. Translate operational challenges into clear product opportunities, value hypotheses, and success metrics. AI Product Leadership Own the AI product vision and roadmap for assigned operational domains. Lead the definition, development, and delivery of AI‑powered products in collaboration with IT, data, and engineering teams. Drive early‑stage prototyping, proof‑of‑concepts, and pilots to validate feasibility and business value before scaling. Ensure AI solutions are designed with scalability, reliability, and real‑world operational adoption in mind. Cross‑Functional Execution Act as the primary bridge between business stakeholders and technical teams, ensuring alignment on goals, scope, and outcomes. Collaborate with IT and architecture teams on solution design, technology selection, and integration into existing systems. Guide prioritization decisions and trade‑offs based on value, risk, and operational impact. AI Expertise & Innovation Serve as the subject matter expert for AI technologies, techniques, and trends as they apply to operations (e.g., generative AI, machine learning, agentic systems, automation). Continuously explore emerging AI tools, platforms, and approaches, and assess their applicability to operational use cases. Provide thought leadership on responsible, practical, and effective use of AI in operations. Community Enablement & Evangelism Help build and enable an internal AI community within Global Operations and across the company. Share best practices, lessons learned, and reusable patterns to accelerate AI adoption. Support education, awareness, and collaboration around AI initiatives through workshops, forums, and informal coaching.

Requirements

Minimum of 8 years of related experience with a bachelor's degree; or 6 years with a Master’s degree; OR PHD with 3 years of experience; OR equivalent experience

Nice To Haves

Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or a related field (advanced degree a plus).
Experience leading or managing digital, analytics, or AI‑driven products in an enterprise or operational environment.
Strong ability to work with business stakeholders to frame problems, define value, and drive alignment.
Hands‑on experience with AI or advanced analytics concepts (e.g., machine learning, generative AI, automation, data-driven products).
Proven track record to lead cross‑functional teams and influence without direct authority.
Comfort working in ambiguous, fast‑evolving environments and driving ideas from concept to execution.

Responsibilities

Partner with Global Operations and functional business teams to deeply understand workflows, pain points, and improvement opportunities.
Identify and prioritize business problems that can be effectively addressed through AI‑driven products and solutions.
Translate operational challenges into clear product opportunities, value hypotheses, and success metrics.
Own the AI product vision and roadmap for assigned operational domains.
Lead the definition, development, and delivery of AI‑powered products in collaboration with IT, data, and engineering teams.
Drive early‑stage prototyping, proof‑of‑concepts, and pilots to validate feasibility and business value before scaling.
Ensure AI solutions are designed with scalability, reliability, and real‑world operational adoption in mind.
Act as the primary bridge between business stakeholders and technical teams, ensuring alignment on goals, scope, and outcomes.
Collaborate with IT and architecture teams on solution design, technology selection, and integration into existing systems.
Guide prioritization decisions and trade‑offs based on value, risk, and operational impact.
Serve as the subject matter expert for AI technologies, techniques, and trends as they apply to operations (e.g., generative AI, machine learning, agentic systems, automation).
Continuously explore emerging AI tools, platforms, and approaches, and assess their applicability to operational use cases.
Provide thought leadership on responsible, practical, and effective use of AI in operations.
Help build and enable an internal AI community within Global Operations and across the company.
Share best practices, lessons learned, and reusable patterns to accelerate AI adoption.
Support education, awareness, and collaboration around AI initiatives through workshops, forums, and informal coaching.