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 doAI 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.
Who we're looking for- 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.
Preferred qualifications- 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.
SalaryCA San Francisco Bay Area Salary Range for this position: $168,000.00 - $350,000.00.
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 BenefitsAt 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.
