The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.
The Global Operations AI team is a newly formed, centralized, high-impact group responsible for defining, continuously evolving, and executing the AI/ML/Automation technology roadmap across Lam Research Global Operations. The team partners closely with Lam’s Enterprise AI office, Global Operations functional business owners, technical teams, platform providers, and internal/external partners to identify, prioritize, deploy, and scale AI-enabled solutions that deliver measurable business value.
We are seeking a highly skilled and versatile AI/ML/Automation Technical Program Manager to help bridge the connection between Global Operations business needs and AI/ML/Automation technical execution. This role will work closely with Operations TPMs, business process owners, Enterprise AI platform teams, vendors, and internal/external delivery partners across the full lifecycle of use-case implementation — from discovery, solution shaping, and build execution through deployment, adoption, run-state transition, and value realization.
The ideal candidate combines strong operations process knowledge, technical fluency in multiple AI/ML/Automation platforms, solution design and deployment, and excellent program execution skills. This individual will act as a trusted connector between business stakeholders and technical teams, helping translate high-priority operational challenges into scalable, secure, explainable, and outcome-driven AI solutions. This role is critical to ensuring that Global Operations AI initiatives are not only technically feasible, but also operationally relevant, adopted by users, embedded into business workflows, and measured against clear value outcomes.
AI/ML/Automation Strategy and Governance
- Support evaluation and selection of AI/ML/Automation platforms & methodologies as well as build & run partners to create a robust partner ecosystem.
- Support creating and evolving a live multi-year GOPs AI Roadmap covering capabilities and value capture.
- Maintain visibility to GOPs AI portfolio, program health, technical risks, dependencies, system readiness, and resource needs.
Technical Execution & Solution Translation
- Drive end-to-end execution of AI/ML/Automation initiatives from discovery through value realization post deployment.
- Translate business challenges into clear technical problems & requirements. Identify gaps between requirements and feasibility early and drive resolution at speed through tradeoff discussions and escalations.
- Partner with data engineers, data scientists, information security engineers, and platform teams to ensure required data pipelines, integrations and security protocols are defined and executed.
- Support the transition from build to run by ensuring ownership, support model, documentation, monitoring requirements including eval metrics, training, and continuous improvement mechanisms are established.
Cross-functional Collaboration & Value Realization
- Build strong partnerships with GOPs, Enterprise AI, IT, Information Security teams and external partner ecosystem.
- Act as a trusted advisor to GOPs stakeholders on how AI/ML/Automation capabilities can be applied to transform operational processes, enable intelligent decision-making, and drive productivity gains.
- Partner with GOPs functional teams to ensure deployed solutions are embedded into business processes and adopted by end users.
- Bachelor’s degree with 12 years of experience; or Master’s degree with 8 years’ experience; or a PhD with 5 years’ experience; or equivalent experience
- Exposure to Operations domains - Supply Chain, Manufacturing, Logistics, Planning, Order Management, Spares Operations and adjacent business functions.
- Demonstrated experience leading complex, cross-functional AI/ML/Automation programs from concept through deployment and operational handoff.
- Technical fluency in AI/ML/Automation concepts, including predictive modeling, optimization, workflow orchestration, LLM/RAG workflows, intelligent agents, analytics, data pipelines, and Ontology or Knowledge Graph based enterprise platforms.
- Strong communication skills with the ability to present complex technical and operational topics clearly to both technical and non-technical stakeholders.
- Ability to operate in ambiguous and fast-moving environments.
- Experience in semiconductor equipment or similar advanced manufacturing environments preferred.
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: Min $146,000 - Max $311,000.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Skills Required
- Bachelor's degree with 12 years of experience, Master's degree with 8 years of experience, PhD with 5 years of experience, or equivalent experience
- Exposure to operations domains including supply chain, manufacturing, logistics, planning, order management, or spares operations
- Experience leading complex, cross-functional AI, machine learning, or automation programs from concept through deployment and operational handoff
- Technical fluency in predictive modeling, optimization, workflow orchestration, LLM/RAG workflows, intelligent agents, analytics, data pipelines, and ontology or knowledge graph platforms
- Strong communication skills with the ability to explain complex technical and operational topics to technical and non-technical stakeholders
- Ability to operate in ambiguous and fast-moving environments
- Experience in semiconductor equipment or similar advanced manufacturing environments
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
