Compensation Partner

This role can be based in San Francisco, Mountain View, or Sunnyvale. 

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.

We are seeking an experienced Compensation Partner to closely collaborate with business partners in the Corporate Functions organizations, Human Resources Business Partners, Global Compensation team and other corporate partners to deliver high impact in the talent market.  

In this position, you will serve as a compensation subject matter expert supporting the implementation, and administration of compensation programs, processes, polices and initiatives. You will be responsible for robust analysis of our compensation structures, the generation of competitive offer packages and engagement with business and HR stakeholders on compensation analyses and market trends.  

Responsibilities  

Compensation Subject Matter Expert and Team Collaborator  

• Craft individual compensation recommendations for external new hires, internal transfers, and international movements, serving as a point of contact for the Talent Acquisition team. 
• Support the implementation of annual compensation cycles; conduct analytical modeling as needed; review manager recommendations; provide advice to inform decision making.  
• Act as Compensation representative of Corporate Functions in the global benchmarking and pricing exercise led by Global Compensation Operations & Excellence function; perform independent analysis of internal and external benchmarking data to support compensation needs.  
• Continually assess market conditions and pay practices to ensure competitiveness and equitability of compensation plans and programs.  
• Support the development of compensation enablement or briefing materials for Leadership Team meetings.  
• Leverage cross functional partners and firm-wide resources to achieve desired outcomes efficiently and with consistency across lines of business, where appropriate. 
• Proactively address and solve operational problems and complex queries from internal or external partners. 
• Partner with global or regional teams to ensure consistency and compliance across geographies. 

Analytical Advisor and Innovative Solution Provider  

• Demonstrate deep analytical knowledge in interpreting complex data and developing compensation modeling and recommendations to drive consistent, automated, and data-based decision making.  
• Conduct ad-hoc compensation analysis to evaluate and identify opportunities to enhance the effectiveness of existing compensation programs.  

Transformational Change Agent  

• Proactively identify and participate in Corporate Functions related or enterprise-wide compensation initiatives to drive globalization, standardization and automation of compensation programs, process and offering.  
• Educate stakeholders on compensation policies, market trends, and best practices through partnership, consultation and communications. 
• Support organizational transformation initiatives (e.g., new job frameworks, talent architecture, market realignments, or equity refresh programs). 

Basic Qualifications  

• BA/BS degree or equivalent experience and 4+ years of experience in compensation, finance, HR, data analytics and any related field.  
• 7+ years of experience in compensation, finance, HR, data analytics, and any related field.  

Preferred Qualifications  

• Excellent presentation skills with the ability to translate quantitative and qualitative analyses into engaging informative communication 
• 3+ years of experience in analytics tools (Excel, PowerBI, data modeling, data reporting) 
• Advanced analytical skills and data visualization 
• Strong written and verbal communication skills with the ability to partner and collaborate.  
• Action-oriented, highly adaptable, and creative problem solver who can manage multiple tasks.  
• Ability to work effectively across a complex organization 
• 3+ years of experience with maintaining internal client partnerships  
• Enthusiastic, team-first attitude; Motivated to work hard in a fast-paced, ever-changing environment to help our growing business. 
• 3+ years of experience in related systems/programs (e.g Workday)  

Suggested Skills  

• Analytical skills 
• Compensation Planning 
• Data Visualization/Data Modeling Collaboration Communication 
• Technical acumen 

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $116,000 to $189,000. 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 an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plan. 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 [email protected] 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.