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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 San Francisco, CA or Mountain View, CA office.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

LinkedIn’s R&D Finance Team is seeking a Manager of FP&A and Business Operations to support our Infrastructure team, driving efficient and effective planning and forecasting processes and providing clear visibility into the R&D spend and investments. Area of focus will include driving the long range forecasting, reporting and deeper development of infrastructure metrics; and working with horizontal and product engineering teams on R&D investments and ROI tracking.

Responsibilities:

• Build and maintain long range modeling of infrastructure costs, provide key decision support on investment decisions

• Partner closely with engineering leaders to support and manage infrastructure growth and investments.

• Oversee the completion of complex financial modeling development / improvement / maintenance.

• Drive the development and implementation of new processes to support the successful completion of timely and accurate forecasts, financial planning consolidations, and tracking of key investments and performance metrics.

• Drive data-driven analysis, size opportunities, develop understanding of key performance drivers to identify areas of improvement and prioritize strategic opportunities.

• Act as the connective tissue across multiple R&D teams to shape the vision, influence decisions, bridge different points of views, see-around-the-corner for any LinkedIn implications.

• Define actionable deliverables, create workstreams, define RAPIDs, track and monitor progress, diagnose and resolve issues, proactively manage risks and address misalignment between teams.

• Communicate and present succinctly and effectively in exec-ready formats.

Basic Qualifications:

• Bachelor’s degree or equivalent work experience

• 6+ years of general work experience, including 3+ years of experience in financial planning and analysis, management consulting, business operations, strategy consulting or equivalent roles

Preferred Qualifications:

• MBA or other advanced degrees preferred

• Direct experience working with both on-premise datacenter forecasting (capex and operating expense) as well as cloud hosting expenses

• Advanced Excel Modeling skills and demonstration of critical thinking—ability to question the output of a financial model and consider options for improvement

• Strong systems skills with preference toward Hyperion (Essbase) and Oracle Financials

• Ability to structure and analyze problems effectively to develop the team’s thinking, facilitate alignment on key strategic decisions among various stakeholders, and identify 80/20 opportunities to reach insightful, implementable, and impactful answers.

• Able to have a strong, independent voice to push teams’ thinking, influence leaders on direction, while able to build trust-based relationships across the company to drive alignment

• High-energy, team-first, positive attitude: Must be motivated to work hard in a fast-paced environment

• Excellent communication skills: Need solid written and verbal communications skills and presence to be able to facilitate discussions and communicate insights with senior-level leaders.

Suggested Skills:

• Strategic thinking

• Data-driven decision making

• Ability to structure ambiguous problems

• Executive level communications

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $123,000 to $199,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf (https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf) .

Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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.