Director, AI Product Management

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.   

Lam Research is seeking a Director of AI Product Management to lead the conception, roadmap development, and prioritization of transformational AI solutions across Lam’s core businesses. This role sits at the intersection of business strategy, product leadership, and applied AI, working closely with internal business units, product groups, and corporate functions to translate strategic opportunities into high-impact, scalable AI products.The Director will own the end-to-end AI product lifecycle for one vertical—from opportunity identification and value framing through delivery, adoption, and value realization—ensuring AI initiatives are tightly aligned with Lam’s business priorities and long term AI architecture roadmap. 

 AI Product Strategy & Roadmapping

• Define and maintain the Functional AI product roadmap, aligned with Lam’s strategic priorities, business-unit value statements and in sync with Enterprise AI roadmap.
• Identify, frame, and prioritize transformational AI use cases across either around Operations spanning manufacturing, supply chain, logistics and order management or product and services spanning hardware, software engineering and equipment performance at customer. 
• Translate business challenges into clearly defined AI product requirements, success metrics, and adoption strategies.

Cross-Functional Leadership & Stakeholder Engagement

• Act as the primary interface between business units / stakeholders, internal engineering functions and corporate functions to ensure clarity of objectives and alignment on delivery.
• Partner with senior leaders to evaluate tradeoffs across AI investments, balancing near-term business impact with long-term platform capabilities.
• Lead executive-level reviews of AI product portfolios, roadmaps, and value realization.

AI Product Lifecycle Management

• Own the full AI product lifecycle, including ideation, discovery, roadmap definition, delivery, launch, adoption, and continuous improvement.
• Ensure AI solutions are designed for scalability, interoperability, and operational robustness, leveraging enterprise AI platforms and MLOps capabilities. 
• Drive change management and adoption strategies to embed AI into core business workflows.

Value Realization & Governance

• Define and track KPIs, OKRs, and value realization metrics for AI initiatives.
• Establish consistent intake, prioritization, and governance mechanisms for AI product investments across the enterprise.
• Ensure alignment with Responsible AI, data governance, security, and compliance requirements.

People & Capability Leadership

• Collaborate, mentor, and guide high performing AI engineering teams. 
• Partner with business and AI stakeholders to build expert networks, drive collaboration, and accelerate business impact.
• Establish best practices for AI product management, including product discovery, experimentation, and outcome-based delivery.
• Collaborate with corporate AI Solution, Platform technology and AI Lab team to develop enterprise-wide AI product management capabilities.

• 10+ years of experience in either product development and services or demand to deliver end-to-end operations, with deep understanding of capital equipment development lifecycles, operational workflows, and business models. 
• Demonstrated product management leadership experience, including ownership of complex, cross-functional product portfolios. 
• Proven experience leading strategic, transformational initiatives, particularly in digital transformation and ML/AI-driven solutions. 
• Strong domain expertise in applying AI/ML to real-world industrial, engineering, manufacturing, or enterprise-scale use cases. 
• Experience working directly with senior executives and business leaders to shape strategy and prioritize investments. 

• Familiarity with AI governance, Responsible AI frameworks, and enterprise data architectures. 
• Delivered an AI transformation for their organization or company with a measurable business impact 
• MBA or advanced technical degree (MS) in engineering, computer science, or a related field. 

Leadership Attributes 

• Strategic thinker with a strong business-outcome orientation. 
• Ability to operate effectively in highly matrixed, global organizations. 
• Trusted partner to senior business and technology leaders. 
• Comfortable navigating ambiguity while driving structure, clarity, and execution. 
• Passion for leveraging AI to deliver durable competitive advantage. 

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.

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