Senior Product Manager, GenAI (Operations)

Company Overview

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 AIdriven 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 AIpowered products in collaboration with IT data and engineering teams.

• Drive earlystage prototyping proofofconcepts and pilots to validate feasibility and business value before scaling.

• Ensure AI solutions are designed with scalability reliability and realworld operational adoption in mind.

CrossFunctional 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 tradeoffs 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.

Preferred Qualifications:

• Bachelors degree in Engineering Computer Science Data Science Business or a related field (advanced degree a plus).

• Experience leading or managing digital analytics or AIdriven products in an enterprise or operational environment.

• Strong ability to work with business stakeholders to frame problems define value and drive alignment.

• Handson experience with AI or advanced analytics concepts (e.g. machine learning generative AI automation datadriven products).

• Proven track record to lead crossfunctional teams and influence without direct authority.

• Comfort working in ambiguous fastevolving environments and driving ideas from concept to execution.

Minimum Qualifications

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 or at 1- to request accommodation.

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