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Lead User Acceptance Product Evaluator
- LinkedIn (Mountain View, CA)
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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.
Lead User Acceptance Product Evaluator
This role will be based in Sunnyvale, San Francisco or Omaha
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.
As a Lead User Acceptance Product Evaluator (UAPe) you will evaluate the product quality of new LinkedIn products and features. You will assess the readiness of our latest changes prior to their being released through the planning and testing across the entire portfolio of LinkedIn’s products. These product evaluations will include black box manual, functional testing, accessibility testing, exploratory testing, API testing, and GenAI prompt scoring. You will join a team of member-focused product evaluators who work with product managers, engineers, and designers, to help evaluate and improve the features that make our members successful each and every day.
As a Lead UAPe, you will develop a high level of competence for LinkedIn’s core products and expected functionality, as well as less commonly used features of LinkedIn. You’ll test new and nuanced features, flows, and functionalities. You will establish a leadership role with peers and interact with upper management. You’ll influence product and engineering decisions and lead the quality of key launches.
Responsibilities:
+ Independently evaluate the next generation of product features and functionalities. Make recommendations to improve product quality and functionality.
+ Convert business requirements into structured test cases and execute test deliverables.
+ Create test plans with multiple work streams and dependencies. Manage test execution across the organization.
+ Prioritize and estimate the level of effort on multiple projects in parallel. Proactively communicate with stakeholders as the single point of contact for the UAPe team.
+ Performed functional, regression, integration, accessibility, API, GenAI and UI testing.
+ Use expert product knowledge, advanced research, and error logs to identify product issues to create reproducible bug reports.
+ Effectively present technical and functional details to senior leaders with both technical and non-technical backgrounds and provide sign-off on product readiness for public launch.
+ Independently work with engineers and product managers to provide member perspective on features such that they meet market needs with respect to functionality, usability, privacy, and performance.
+ Collaborate across the organization to articulate issues, its severity, impact and potential solutions.
+ Independently use data to effectively influence engineering to fix issues before launch.
+ Independently escalates issues to senior leadership and drives effective and collaborative resolutions.
+ Use advanced understanding of JIRA to identify trends and areas of improvement for stakeholders.
+ Coach and mentor full-time employees and vendors to adopt high quality evaluation standards and industry best practices.
Basic Qualifications:
+ BE/BS/BA degree required
+ 7+ years’ experience in one or more of the following areas: User Testing, Product Evaluation, Quality Assurance, User Experience, Technical Program/Project Management, Test Engineering, or Technical Support.
+ 3+ yrs experience with testing APIs
+ 2+ yrs experience with test automation tools and scripting/programming languages - Postman, Selenium, Appium, Java, Javascript, Python, Playwright etc.
+ Experience in Agile Testing practices
+ Advanced knowledge of JIRA for bug filing, sprint planning, and test case scenarios.
+ Experience in coaching and mentoring team members
Preferred Qualifications:
+ Strong verbal and written communicator able to work across teams and levels
+ Experience with GenAI products testing
+ Experience with Accessibility testing
+ Experience working with vendors to test
Suggested skills:
+ Product Testing
+ API Testing
+ User Testing
+ Project Management
+ Test Automation
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $133,000 to $216,000. 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 [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.
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