Director, AI Product Management

Lam Research•Fremont, CA

20h•$168,000 - $350,000•Hybrid

About The Position

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. This role is central to Lam’s ability to operationalize AI as a strategic differentiator, ensuring advanced analytics and ML solutions move beyond experimentation and are embedded into the company’s core products, operations, and decision-making processes at scale.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.