LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
This role can be based in our Mountain View, CA or San Francisco, CA office.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn's R&D Strategic Finance team is looking for a strategic thinker and motivated operator who is passionate about helping LinkedIn scale its AI infrastructure to meet the demands of our rapidly evolving business. This is a high-impact role that will help define and drive the strategy, operations, and financial planning behind LinkedIn's most critical infrastructure investment: GPUs.
GPUs are the backbone of our most ambitious AI initiatives - they fuel the models that power everything from member experiences to enterprise tools. How and where we choose to invest in GPUs shapes our product roadmap, cost structure, and future as an AI-first company.
This role sits at the intersection of Finance, Strategy, and Operations in close partnership with Product and Infrastructure Engineering teams. As a Sr. Associate, R&D Infrastructure Strategy, you'll help manage the cost, performance, and strategic direction of LinkedIn's GPU investments across cloud and on-prem environments, ensuring we're making smart, data-driven decisions to support our AI growth .
Responsibilities:
Lead financial planning and strategy for GPU infrastructure: evaluate cloud vs. on-prem tradeoffs, manage forecasts, and build ROI frameworks
Build and maintain analytical reporting to track GPU utilization and tie infrastructure use to business outcomes (e.g., revenue, engagement, cost efficiency)
Drive operational insights to inform GPU allocation, LLM/model deployment strategy, and overall AI investment prioritization
Collaborate cross-functionally to develop and execute datacenter strategy to support GPU needs-including sizing infrastructure, modeling cost/performance tradeoffs, and determining investment timing
Build reporting and operational cadences, including executive reporting on infrastructure usage, investment rationale, and strategic implications
Act as a connective tissue across technical and non-technical teams, translating complex infrastructure concepts into clear, actionable insights for business
Contribute to the culture and values of our small and newly develop R&D Strategic Finance Infrastructure team: including helping lead org and team-wide events and initiatives, building inclusive community, proactively seeking out and providing constructive feedback to colleagues, and seeking out opportunities for career growth and skill development
Basic Qualifications
Bachelor's degree in business, Business Analytics, Finance, or related field AND minimum 3 years of experience in finance, finance accounting, management consulting, investment banking, or related field OR equivalent experience.
Preferred Qualifications
1+ years of experience in the technology industry, including AI experiences
Experience with and/or genuine passion for emerging technologies and strategy, especially AI and infrastructure
Strong analytical skills and business judgment; experience in data-driven strategy or operations and decomposing and solving real-world business problems, ideally building/using advanced Excel models. Experience with SQL is a plus.
Team-first attitude: Motivated to work collaboratively in a fast-paced, ever-changing environment to help our growing business and how LinkedIn operates. And proven ability to work cross-functionally
Problem-solving: Comfortable with data and ambiguity, and able to both delve into the details and engage meaningfully on higher level strategy
Communication: Excellent communication skills to distill complex thoughts and strategies into simple, actionable recommendations
Suggested Skills
Communication
Cross-Team Collaboration
Data Analysis
Project & Stakeholder Management
Strategic Thinking
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $96,000 - $156,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance ?
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement ?
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates ?
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
