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Ann Arbor, Michigan, United States
Onsite
Company Overview
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.
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.
Minimum Qualifications
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
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.