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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 Sunnyvale or San Francisco

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 was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

As a Product Manager within the LinkedIn Talent Solutions (LTS) team, you will play a pivotal role in shaping the future of talent acquisition. You will work on the Recruiter product leading innovative projects developing AI-assisted search tools, refining our ranking algorithms, and expanding the pool of discoverable candidates. These initiatives are crucial for empowering our customers to quickly find high-quality candidates. In this role you will:

• Enhance Talent Discovery: Expand the pool of talent available to recruiters, making it easier for them to find great candidates. Through improving our search functionalities, you'll help more candidates get noticed based on their skills and experiences.

• Improve Search Quality: Refine our search algorithms, employing ranking and embedding techniques to ensure that search results are not only relevant but also of the highest quality. Your work will directly impact the efficiency and effectiveness of the recruitment process, helping recruiters quickly connect with ideal candidates.

• Drive Measurable Impact: Collaborate with cross-functional teams to implement these advanced search technologies and measure the results to our marketplace key metrics.

Responsibilities:

• Create and articulate a compelling vision, strategy, and roadmap that sets the path for how search should evolve in an AI-first world. Get alignment from cross-functional team members and executives for your vision and strategy.

• Work cross-functionally with engineering, design, data science, marketing, legal, and business development teams to build, release, and promote new features and enhancements.

• Become deeply familiar with LinkedIn’s Talent Solutions customers, their recruiting process, and LinkedIn’s search infrastructure. Synthesize needs from interactions with customers, users, sales and marketing teams into hypothesis-driven product requirements. Define product metrics, objectives, and key results to help guide, prioritize, and measure the success of the strategy, product initiatives, and releases in search.

Basic Qualification

• BS degree in a technology-related field

• 4+ years of experience in a product management or equivalent role

Preferred Qualifications

• Experience developing enterprise products and a proven ability to communicate and work directly with customers.

• Ability to interact with and understand technical subjects and emerging technologies and their relevance to the marketplace. 

• Experience in the hiring, recruiting, or talent acquisition space.

• Understanding of search technologies or similar technical domains, such as document parsing, query understanding, ranking algorithms, and vector embeddings.

• Experience working with large-scale and complex data sets and applying machine learning and natural language processing techniques to improve search relevance and quality.

• Collaborative and proactive attitude with excellent communication and presentation skills. Able to learn quickly and work effectively with cross-functional teams, including engineers, data scientists, designers, and product marketers.

Suggested Skills

• Product Development

• Data Analysis

• User Experience

• Team Leadership

• AI or Machine Learning

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $167,875 to $195,000. 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://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=xcELJV) .

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.

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.