Job Description

AI Engineering Manager - Foundational Data

Company Overview:

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.

Team Overview:

LinkedIn’s Core AI organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm.

You will be leading a team of data infra and machine learning engineers to build a foundational data platform that combines and unifies all textualized member profile, activity and graph data across LinkedIn into a canonical format in a privacy and policy compliant manner with capabilities of massive scale data preparation, nearline and offline serving, quality control and data selection. You will be responsible for ensuring high quality, privacy aware data for next generation machine learning training and evaluation.

Location:

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.

This role will be based in Sunnyvale, CA.

Responsibilities:

• Provide direct leadership for a team of 5-10 engineers.
• Collaborate closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration.
• Participate in key technical and design discussions with Technical Leads in the team.
• Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.
• Attract world class talent and provide technical guidance, career development, and mentoring to team members.

Basic Qualifications:

• 5+ years of related industry experience in software design, development, and algorithm related solutions
• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
• BA/BS in Computer Science or other technical discipline, or related practical technical experience
• Hands on experience in data engineering, data modeling and machine learning

Preferred Qualifications:

• 2+ years of experience as an Engineering Manager
• 7+ years of hands on experience in data engineering or a related discipline
• MS or PhD in Computer Science, Machine Learning, Statistics or related fields
• Experience building enterprise grade distributed systems and/or data platforms

Suggested Skills:

• Engineering Management
• Technical Leadership
• Distributed Systems
• Data Engineering

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

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Compensation Disclosure:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. 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

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 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.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link:

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

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