Manager Software Engineering

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 Bellevue, WA. 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. Come work in the exciting field of data engineering for the LinkedIn Feed. This is a hub of rapid and exciting products and tech innovation. Our team of highly motivated engineers work closely with passionate AI partners to bring economic opportunity to the global workforce. Join us if you're excited to tackle challenging engineering problems and deliver significant business impact, all while leading engineers in a fast-evolving tech landscape. The Feed is the starting point for our members' experience on the LinkedIn app. Data engineering and AI teams' partner closely to make our content recommendations on the Feed highly relevant, driving significant business impact. This Manager role is all about building production-quality signal pipelines for our models to deliver the best personalized recommendations for every member who comes to the Feed. Responsibilities: You will manage the performance and career development of a small team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding. You will participate with senior management in developing a long-term technology roadmap. Collaborate with data engineering and AI partners to build signal pipelines for Feed recommendation models and enhance the inference serving stack to enable various AI and product experiments Operate pipelines and inference serving stack to ensure they scale, maintain high availability and resiliency, and produce high quality signals 24x7 Enhance the pipelines and inference serving stack to enable high experimental velocity Grow your engineering team's engineering skills and lead them through the fast-paced evolution of AI and data engineering changes Contribute to the evolving data engineering strategy of your parent organization Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years of industry experience in software design, development, and large-scale software engineering Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C /Scala/etc.) Preferred Qualifications: MS or PhD in Computer Science or related technical discipline 2+ years of hands-on software engineering/technical management and people management experience 7+ years industry experience in software design, development, and algorithm related solutions. 5+ years programming experience in languages such as Java, C/C , C , Python, Go, etc. Experience in the design and development of performant, highly available, scalable web applications Understanding of common performance patterns and anti-patterns in distributed systems Successful track record of managing small teams of engineers to deliver multiple projects on time and with quality Active involvement in the creation and execution of technical strategies and roadmaps Hire and retain world-class engineers by providing career growth, mentoring, and high impact projects, while taking intelligent risks to improve the way work is done Suggested Skills: Recommendation systems Large scale distributed and stateful backend systems Operational excellence Growth mindset Critical thinking 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. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. 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: 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 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: