Director, AI Product Management
Listed on 2026-08-03
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Business
AI Business & Operations -
IT/Tech
AI Business & Operations
In your career, let’s prove what’s possible.
At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy.
We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value.
We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.
Date:
Jul 31, 2026
Location:
Fremont, CA, US, 94538
Worker Category:
On-site Flex
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.
The impact you’ll makeLam 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.
Why This Role Matters
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.
What you’ll do- 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…
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