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KLA

Makes chip inspection and measurement equipment

Global Product Support Manager

ProductConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of meaningful experience and a proven track record of leading, including at least 4 years of management experience.
  • A bachelor's degree or higher in a related field, or an equivalent combination of relevant education and experience.
  • 8+ years in semiconductor capital equipment service, engineering, or operations, with 3+ years in a leadership or management role.
  • Direct customer-facing experience with top-tier semiconductor fabs.
  • Demonstrated ownership of customer escalations, including L4-tier and executive-visibility escalations.
  • Financial fluency in Cost of Service, profit and loss, overtime and labor categorization, and headcount planning, including the ability to defend a budget and forecast to a vice president.
  • Experience leading matrixed teams across new product introduction, sustaining, technical support, and engineering, and holding them accountable for outcomes.
  • Willingness to travel 25–40% globally.

Responsibilities

  • Drive L0–L4 escalation flow from local customer service engineers through Product Support Operations Technical Support, Product Support Operations Engineering, and Manufacturing to keep field cases moving and prevent escalation drift.
  • Own the customer-facing voice for service quality across the product family, including Quarterly Alignment Meetings, customer field reviews, and recurring customer-of-record cadences.
  • Maintain routing discipline for case paths, distribution lists, and assigning the right team to the right problem.
  • Set and defend per-product Cost of Service targets by product, region, and division.
  • Drive sustaining-side Continuous Improvement Programs and field change order planning to reduce Cost of Service.
  • Own labor mix across cross-region travel and same-region support, as well as technical support engineer utilization targets.
  • Own product-family availability commitments, including mean time between failures, mean time to repair, escalation duration, and L4 frequency.
  • Use field service report narratives, escalation patterns, parts consumption, and fleet hotspots to identify systemic risks before they become customer escalations.
  • Partner with cross-collaboration services teams and division teams on root-cause analysis, retrofit programs, and service support strategy.
  • Own product-family performance commitments for throughput, cleanliness, and repeatability.
  • Translate fab-outcome expectations into product-level service deliverables.
  • Partner with Division general managers whose tools host the product family, aligning service performance with tool uptime.
  • Own field readiness for each new product introduction across the product family, including training plans, documentation strategy, field-replaceable unit planning, tooling, hedge kits, beta support, and RSL.
  • Gate Phase Exit acceptance by formally accepting or refusing to accept products from new product introduction into volume and sustaining when readiness streams are not closed.
  • Coordinate readiness across concurrent new product introduction programs, typically 3–5 in parallel.
  • Set regional technical support coverage strategy, including hiring plans, regional gaps, and follow-the-sun structure.
  • Drive Division Self-Sufficiency by shaping the operating model so scarce specialists are backline support rather than first-line support.
  • Run the Quarterly Alignment Meetings and Business Review cadence with action tracking and lookback discipline.

Desired Qualifications

  • Wafer-handler and/or server or data-system product experience, through direct hands-on work or service ownership; cross-product and platform experience is a strong plus.
  • Comfort using modern AI tooling, including LLM-based copilots, agentic systems, or vector search in day-to-day decision-making, grounding AI output in source data, and identifying fabricated output.
  • Data and analytics fluency, including comfort with Snowflake, Power BI, Streamlit, or equivalent, and the ability to interrogate data directly; working knowledge of SQL, Python, or R is preferred.
  • Ability to distinguish correlation from causation, identify sample bias, and interpret fleet-pattern signals.
  • A knowledge-engineering mindset, including capturing, indexing, and making institutional knowledge queryable in systems that build team knowledge over time.
  • Awareness of product technology trends such as advanced packaging, hybrid bonding, 3D NAND scaling, EUV/High-NA, and AI/HPC silicon, and their implications for service complexity.
  • A bachelor's degree in Mechanical, Electrical, or Industrial Engineering; a master's degree is preferred.

About the Company

KLA

Makes chip inspection and measurement equipment

KLA makes equipment and software that help semiconductor and electronics manufacturers find defects, measure tiny features and improve production yields. Its process control systems inspect wafers and analyze manufacturing data so engineers can identify problems before they spread through a production run. The product portfolio supports chip fabrication, packaging and printed circuit boards, with tools that check materials and finished components throughout manufacturing. KLA earns revenue from equipment sales and related service contracts, including maintenance that keeps customers' installed tools operating reliably. Formed through a merger in 1997, KLA is headquartered in Milpitas, California.

Company size
10,001+
Company stage
IPO
Headquarters
Milpitas, CA
Founded
1997

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