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 will be based in San Francisco, Sunnyvale, Chicago, New York, or Omaha.

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.

Trust Product Operations Managers (POM) impact the product and operations at LinkedIn by building, designing, implementing, and testing products, product features, and solutions focused on improving the trust and trust-building experiences of LinkedIn’s members and customers.

Product Operations Managers are data-driven, have an entrepreneurial spirit, an open-mindset, a comfort with ambiguity, are true system-thinkers, and are highly empathetic – they want to consistently provide solutions to improve the experience of LinkedIn’s members and customers, both in our products and in interactions with our front-line support teams. Product Operations Managers focus first by understanding the data and information available – both quantitative and qualitative, consistently communicate product feedback and insights, and impact both the product roadmap and support operations experience.  

To achieve results for our members and customers, this role will lead large initiatives across multiple teams and organizations, collaborate with key partners including Trust Product, Engineering, Global Support, Member & Customer Success, Data Science & Insights, User Research & Design, Product Marketing, and Business Operations. To be successful, POMs are exceptional communicators, skilled at leading without authority, and capable of building a long-term vision while continuously providing member and customer insights and feedback. 

A blend of detective work, influencing, analytics, and consumer web savvy make this a unique and exciting role that will tangibly impact the member trust for one of the world’s marquis technology companies.

Responsibilities: 

Owns and improves the member and customer experience with LinkedIn Trust products:

• Owns the member and customer product and support experience (Voice of the Member/Customer) by extracting insights from both in-product experiences and member/customer feedback and then transforming those insights into an actionable "voice of the customer" narrative that influences Trust Product and Operations to improve the trust and trust-building experiences of LinkedIn members. 
• Ensures top member and customer feedback and insights are prioritized on the product and operations roadmaps by delivering the Voice of the Customer/Member (VOMC) to cross-functional partners via real-time reporting, deep dives, product review documents, ramp email reports, and more. 
• Serves as product expert and liaison for Global Support and the Member & Customer Success organization, informing key stakeholders of product changes and external documentation requirements, including enablement of the Help Center. 
• Thought leader for Operational Excellence for respective product and initiatives, including designing new operations and improving existing operations - inclusive of all stages of the member and customer product experience. 
• Enhances product quality by implementing and leveraging key quality metrics and creating an atmosphere of member and customer empathy. 
• Occasional travel (<10%) might be required. 

Leverages data expertise to represent the Voice of the Member/Customer (VOMC):

• Acquires and analyzes member/customer insights from data visualization tools (such as Tableau), database management tools (SQL), customer relationship management tools (Dynamics), and product experience tools and more. 
• Owns (through representation and analysis) key VOMC data sources, including: all customer and member case data, Social Signal, Product Experience, and Natural Language Processing.  POM also leverages additional signals such as bug reporting & analysis, CSAT, customer surveys, cross-functional, sales, and support feedback, and more. 
• Enhances product quality by implementing and leveraging key quality metrics and creating an atmosphere of member and customer empathy. 

Basic Qualifications:  

• Bachelor’s degree or equivalent, relevant work experience. 
• 4+ years’ experience in one or more of the following areas: Product Operations, Product Management, Data Analysis, Business Operations, Management Consulting, Program Management, or Operations Manager. 
• 2+ years experience with analytical data languages (e.g. SQL, R, Python).
• 2+ years experience with data visualization tools (e.g. Tableau, PowerBI). 

Preferred Qualifications:  

• Experience in Trust and Safety with a social platform, preferably within content trust.
• Experience in a role focused on improving member or customer experience (Voice of Customer/Member). 
• Experience driving cross-functional projects with multiple stakeholders. 
• Experience in gathering business insights and identifying trends from data, including combination of data from multiple sources. 
• Advanced knowledge of data tools such as SQL, Tableau, or advanced internal data visualization tools. 
• Experience creating compelling data-driven narratives using data from multiple sources. 
• Demonstrates strong empathy for members and customers, while balancing the vision and constraints of stakeholders. 
• Cross-functional collaborator and negotiator, with strong communication abilities – both written and verbal. 
• Strong organizational skills and attention to detail. 
• Experience with consumer-facing internet websites.

Suggested skills:

• Product
• Operations
• Data visualization
• Data analysis

The pay range for this role is $98,000 to $153,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.

Please reference the following information for more information: 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.

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• 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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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