Company Description
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.
Job Description
This role will be based in San Francisco, New York City, or Chicago.
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.
The Technical Consultant is a key technical resource for our Customer Success Organization through the sales and implementation process. The Technical Consultant works closely with our Customer Success Managers, Onboarding Consultants and customers to provide technical assistance, and consulting to ensure smooth onboarding of customers on the LinkedIn Learning Solutions platform. The ideal candidate will be a natural relationship builder with great communication, organization, and technical skills.
Relationships matter to us. We are looking for individuals who can add to the magic of our team while having a massive impact on our business. Let us know if you are a fit.
Responsibilities:
Lead successful onboarding of customers on LinkedIn Talent Solutions (Hiring and Learning), supporting with integration, authentication, and consulting efforts as needed.
Consult with our largest and most complex customers.
Build trusted, strategic relationships with senior executives at customer organizations
Develop and deliver presentations that explain our products to clients and prospects.
Delight the customers by providing prescriptive consulting on solutions and quickly resolve escalations when required.
Identify, evaluate, and communicate customer trends to leadership in a prompt manner.
Support Sales, and Customer Success Managers as the key technical resource to understand customer requirements and provide appropriate solutions.
Provide input to internal product teams on customer needs and industry trends for product enhancements
Work closely with the product and Engineering teams to stay current on product features and platform changes.
Project lead regarding any product issues, lead investigation of solutions, and communicate the solutions to the appropriate teams.
Lead new hires and consultants on the TC team, acting as a mentor & leader within the group
Qualifications
Basic Qualifications:
5+ years of experience of technical consulting in a subscription-based business
Experience with Single Sign-On (SSO), Multi-factor Authentication (MFA), xAPI, SQL, Learning Record Stores (LRS), Applicant Tracking systems (ATS) and Learning Experience Platforms (LXP), with a focus on system integrations, technical troubleshooting, and delivering prescriptive solutions to customer needs.
Bachelor’s Degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, Statistics, Physics, Economics, Cognitive Science, Business Information Technology, or a related technical or quantitative field — or equivalent practical experience
Preferred qualifications:
Experience working with Recruiter Products and how they integrate with Applicant tracking systems (ATS)
Experience/certifications with HRIS integrations with applications like workday/oracle.
A good understanding of Learning Management Systems and how they integrate with other systems.
Proven project management capabilities and stakeholder management
Proven experience working with senior executives and complex customers
Keen attention to detail and the ability to prioritize and manage multiple customer projects at once.
Knowledge and prior use of case management and collaboration tools like SFDC, Dynamics, Jira or Confluence.
Knowledge and prior experience in Engineering query tools to query Hadoop big data
Communication and presentation skills for both technical and business audiences
Suggested Skills:
Customer Relationship Management
Time Management
Account Management
Relationship Building
Prescriptive Consulting
Change Management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $93,000 to $143,000. 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.
Additional Information
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.
