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Lam Research in Fremont, California is seeking a Manager/Sr. Manager to lead the deployment of AI within Finance operations. This role is pivotal in transforming workflows, ensuring compliance, and enhancing decision-making through innovative solutions.
The ideal candidate will have extensive knowledge of Finance processes and AI concepts, with a strong track record in driving measurable outcomes. This position offers a competitive salary and a hybrid work model.
The group you’ll be a part of
Position Overview
We are seeking a Manager / Sr. Manager to accelerate the execution and scaling of AI and automation across Finance. This role is responsible for delivering measurable business outcomes within defined Finance processes by redesigning workflows and deploying AI-enabled solutions.
This role blends Finance process knowledge with strong AI and data fluency. It includes direct engagement with the CFO on priority requests and deliverables and drives implementation of generative AI and agentic AI solutions using a human-in-the-loop approach to ensure control and auditability.
This role will serve as a driver for implementing new AI and automation solutions within Finance, focused on turning identified opportunities into production‑ready solutions that improve efficiency, strengthen controls, and enhance decision‑making.
This is a hands‑on execution role, acting as a single‑threaded owner for selected Finance transformation areas.
The role partners closely with Controllers, FP&A, IT, and Data teams and serves as a bridge between business needs and technical implementation.
Who we’re looking for
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.
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00. 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.
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.
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.
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.