Information Security Apprentice Engineer Mountain View, CA This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future. To learn more about the program and the application questions and timeline, please visit: 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. Searching for your dream job? At LinkedIn, we have developed an apprenticeship program that creates opportunity for every individual with the passion, potential, and drive to either develop or restart their career in engineering. We fundamentally believe top talent can come from anywhere, regardless of educational training or professional experience. REACH Program REACH is a multi-year program where individuals with passion for engineering will work in technical roles to build their skill set and gain the experience needed to become an Engineer at LinkedIn. The time each apprentice spends in this program will vary depending on their incoming skill set, experience, and progress through the program. The time in program is a one year minimum and a five year maximum in the apprenticeship. This program is designed for candidates who have non-traditional career paths and we strongly encourage those candidates to apply. This includes but is not limited to: candidates without Computer Science degrees who are self-taught, those that are re-entering the workforce, individuals switching careers, or those who have attended boot camp style programming courses. Hybrid Work 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. Information Security Apprentice Engineer As an Apprentice Engineer - Information Security (Infosec), you will be placed on an engineering team at LinkedIn and work on Information Security engineering or operational issues. You will develop an understanding of an information security domain at scale, learn from fellow engineers and managers, and build key skills that can be applied to a future career in Information Security. Apprentices will also be guaranteed a percentage of time to focus on their own personal technical development, using both internal and external educational resources. Is the Information Security apprenticeship a good fit for me? The Information Security Apprentice Engineer position could be for you if you want to work on information security problems in an enterprise environment, develop an understanding of information security challenges in information security engineer/operations . Job Responsibilities: Contribute a unique perspective and creative approach to solving problems at LinkedIn. Continue to learn and develop your skills as an information security engineer. Under the mentorship and guidance of seasoned LinkedIn engineers, learn the base principles for a given security engineering domain (i.e. incident response, security operations, detection engineering). Develop an understanding of how an enterprise is secured, and the teams which support its security. Gain experience in developing scalable security solutions and processes. Basic Qualifications: • Must have participated in a Year Up Internship at LinkedIn • Demonstrated history of or interest in independent problem solving of security issues. • Demonstrated history of independent coding related projects or solving problems with code. There is a wide range of activities that will qualify. Examples include, but are not limited to: - Open source contributions - Personal projects hosted on Github, etc. - Hardware hacking with tools like Arduino - Automating job functions via scripting or macros - Complex spreadsheet formula creation or maintenance - Querying databases - Experience with any object-oriented programming language Preferred Qualifications: • Understanding of Information Security basic concepts related to incident response, security operations, detection engineering, etc. Knowing what some of these are will make it easier for you to learn more complex information security topics • Understanding of operating system principles - event log, security configurations, etc. • Ability to write scripts to automate work. • Demonstrate an understanding of common attacks - owasp, Mitre etc. • Demonstrate an understanding of common security controls, or architecture. • Demonstrated a compelling desire to have a career in Information Security and a strong passion for threat hunting, penetration testing, or security operations. • Ability to clearly articulate your perspective • Entrepreneurial mindset to bring in a new and unique perspective to the team • The desire to learn and develop your skills in the information security field • Knowledge of system and application vulnerabilities. Suggested skills: • Problem solving • Communication Skills • Information Security Concepts • Basic scripting and automation skills LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $82,000 to $109,000. 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 Application Requirements: Our application process is designed to give individuals the opportunity to show us a range of qualities we believe will make them successful engineers. This includes their drive and ability to learn, tenacity and work ethic, unique perspective and passion for engineering. As part of the application process, individuals are required to submit responses to the application questions and responses will be reviewed for completeness as well as content. To review the questions, including recommended length for each, please visit the role description at Please note, resumes and LinkedIn profiles will NOT be considered as part of the evaluation for REACH. Therefore, please make sure that any information you would like us to know is highlighted in your application responses. We also know that tools like ChatGPT and others are widely used and can be helpful in organizing your thoughts. If you choose to use AI while writing your application, please make sure your responses reflect your own experiences, voice, and ideas. We're looking to understand your journey, interests, and baseline technical skills-and authenticity really helps us get to know you. 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 . click apply for full job details
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. 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 hybrid in LinkedIn's Mountain View, CA campus. Linkedin's Production Hardware Engineering and Capacity team is looking for an experienced capacity planning resource that will be part of a team to support the company's data center footprint globally. The role will require working with the Production, Infrastructure, and Business Engineering and Operations teams. Responsibilities: Partner with internal Engineering customers to understand their long-term growth trajectories and create plans to meet their compute resource needs. Perform data analysis for existing capacity headroom and build forecast demand pipeline. Work with our Data Center Engineering and Infrastructure Business Operations partners to develop a new capacity take-down schedule. Work with our Hardware Evaluation team to identify the impact of new technology on data center capacity. Define metrics and create tools to scale capacity planning with LinkedIn's growth. Track infrastructure capacity orders, delivery, and spare hardware pool sizes for all products within our data centers. Perform Quarterly infrastructure capacity analysis and review with Service Engineers, Application Owners and Management. Proactively identify data center capacity-related concerns and work with systems, network, and operations engineering teams to find resolutions. Work with our Infrastructure Development team to build tools for automation of the capacity planning process that can be utilized for more effective hardware allocation. Convert hardware forecast into cabinet configurations using power balancing and topology requirements to best utilize data center power and space capacity. The position may require some travel Basic Qualifications: BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience 5+ years of capacity planning, production planning or operations planning in large Data Center environments with at least 2+ years of experience in a leadership position Experience with data center facilities operations, power infrastructure, cooling infrastructure, and physical space requirements. Experience with building and managing models for business forecasting, variance analysis, and problem solving. Preferred Qualifications: 7+ years of capacity planning, production planning or operations planning in large Data Center environments Experience working with a trouble ticketing system (Jira or equivalent) Advanced knowledge of data analytics and data modeling tools Strong communication and presentation skills working with cross-functional teams Strong operational understanding of BMS, CMDB, and DCIM tools Suggested Skills: • Data Center capacity planning • Data Center production planning • Data Center operations planning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. 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 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:
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us 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. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description 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. We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader's technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform. This would include partnering with the technical leads to help build solutions in the following areas: Building a seamless managed data experience for the platform users Strategize and help build a single multipurpose query engine that spans both batch and streams compute. Strategizing on the SQL-first strategy for infrastructure. Building an observable platform that has true end-to-end error handling. The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality. Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 10+ years of experience in software design, building solutions Preferred Qualifications: 12+ years' experience in software design 5+ of those years in a technical leadership position Experience with big data platform infrastructure Experience leading and influencing within large, matrixed organization Experience leading high-impact, cross-organization initiatives. "Suggested skills" - big data platform infrastructure - Developing technology strategies at a company-wide scale. - Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. 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 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:
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us 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. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description 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. Help shape the future of how we discover, trust, and manage data. We're looking for a visionary and deeply technical Principal Staff Engineer to join our Data Management organization and lead the charge in building world-class solutions for data discovery, observability, and quality. This is a pivotal role for a senior technologist who thrives at the intersection of data infrastructure, distributed systems, and metadata intelligence. If you've built large-scale data platforms, contributed to data catalogs or semantic search engines, and care deeply about making data reliable and discoverable-this is your opportunity to lead that transformation at scale Responsibilities: Architectural Leadership: -Define and evolve the long-term technical vision for data discovery and data quality across the organization. -Design and lead implementation of scalable, low-latency systems for metadata, data quality signals, and observability. -Evaluate new architectures, tools, and frameworks-and lead their adoption across the platform. -Set engineering standards, guide system design reviews, and mentor other engineers. Data Platform, Metadata and Data Discovery Expertise -Architect systems that unify structured and unstructured metadata to make data assets easier to find, understand, and trust. -Develop mechanisms to automatically assess data freshness, completeness, and reliability across the data lifecycle. -Deep expertise in one or more of data platforms, data quality, data catalogs, data discovery. Operational Excellence: -Drive improvements in system observability, monitoring, and alerting. -Lead efforts to improve system reliability, availability, and maintainability. -Participate in incident response and root cause analysis. -Champion best practices for software development, testing, and deployment. Collaboration and Communication: -Effectively communicate complex technical concepts to both technical and non-technical audiences. -Collaborate with cross-functional teams, 1 including product, operations, and data science Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 10+ years of experience in software design, building solutions 5+ years in a technical leadership position Preferred Qualifications: 12+ years of experience in software design 5+ of those years in a technical leadership position Experience with data platforms, data discovery, data quality and data observability. Experience leading and influencing within large, matrixed organization Experience leading high-impact, cross-organization initiatives. Suggested skills - Data Platforms and Data Discovery - Data Quality and Data Observability. - Developing technology strategies at a company-wide scale. - Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. 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 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:
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 will be hybrid in LinkedIn's Mountain View campus. 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. Team Description: Our team is responsible for designing, implementing, and operating network software for data centers, inter-DC backbone and host networking stack that powers the LinkedIn economic graph. Our offering includes network operating system (SONiC), traffic engineering, intent-based configuration management, telemetry, and various systems helping with network packet forwarding and translation, monitoring, and operations. As a Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, understands state-of-the-art networking research, aligns points of view across teams, and makes smart trade-offs. On top of the leadership skills, a successful Staff Software Engineer must exhibit strong technical skills both in software engineering and networking areas. Responsibilities: You will provide technical leadership and drive the full lifecycle of network software development at LinkedIn-designing, developing, testing, operating, and continuously improving it to ensure scalability, high performance, and 24x7 reliability. You will produce high-quality software that is unit-tested, code-reviewed, and regularly checked in for continuous integration. You will collaborate closely with the network engineering and application teams to define the future direction of LinkedIn's networking systems, leveraging state-of-the-art research in modern networking technologies and making informed trade-offs. You will elevate the level of craftsmanship by developing best practices and mentoring other engineers. Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 4+ years experience in software design, development, and algorithm related solutions. 4+ years programming experience in object-oriented programming languages such as Golang, Python, Java, C++, Rust. Experience with network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS). Preferred Qualifications: BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. Experience in architecting, building, and operating large-scale distributed systems running in a 24x7 production environment. Experience or knowledge in networking programming, such as Software Defined Networking (SDN), intent-based configuration management, RDMA/RoCEv2, Segment Routing, and network congestion control algorithms. Experience or knowledge in SONiC Network Operating System, Kubernetes & CNI, host networking / TCP tuning. Experience or knowledge in network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc. Suggested Skills: Technical Leadership Architectural Mastery SONiC Network Operating System Software Defined Networking Mentoring and Knowledge Sharing 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 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 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:
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. The Maintenance Automation team helps engineers by automating routine maintenance tasks, giving them more time to focus on important business goals and new ideas. We build and manage LinkedIn's AI-powered engineering assistant, using agentic workflows and rapid experimentation to create smarter automation. Our team ensures these workflows runs across thousands of libraries and services, making maintenance reliable and efficient at scale. 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: You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 4+ years experience in software design, development, and algorithm related solutions. 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. Experience building web applications and services with IDEs, ant, junit, etc. Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: Technical Leadership Architectural Mastery Code Review and Quality Assurance Advanced Security Practices Mentoring and Knowledge Sharing 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:
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. 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. LinkedIn's Flagship Applied Science team is seeking a Senior Manager to lead a team of talented Applied Scientists focused on building cutting-edge inference, algorithms, and models that identify and quantify complex cause-and-effect relationships within our ecosystem. In this role, you will drive both the strategic direction and the day-to-day management of the team while directly contributing to LinkedIn's Knowledge Marketplace strategy. You will tackle unique and challenging problems, such as using causal inference techniques to quantify causality between input and outcome metrics, as well as measuring content creator and viewer network impact through experimentation. Your leadership will be essential in developing innovative, data-driven insights that shape our marketplace and advance LinkedIn's position as a thought leader in this space. Responsibilities: -This role will include a mix of thought leadership, team management, and collaboration across other groups/functions (Product, AI, Engineering, etc.). The current scope will include a team of 8-10 direct reports. -Provide direction and oversight for in-depth and rigorous causal analysis, development of causal methodology, and machine learning models to drive member value; design and conduct rigorous A/B tests, refine experimentation methodologies to identify and quantify complex cause and effect in the ecosystem and to continuously drive member values. -Guide the team to explore vast datasets to discover relevant features and attributes that can improve the performance of existing models. Extract valuable information from unstructured data sources and apply feature engineering techniques to enhance model effectiveness. -Continuously optimize and fine-tune models to meet business objectives and user expectations. -Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights -Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. -Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals -Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company Basic Qualifications: 7+ years of relevant work experience Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Experience with SQL or relational database query performance, and at least one programming language (e.g., R, Python) Preferred Qualifications: 5+ years of management experience 10+ years of overall professional experience Demonstrated thought leadership; experience publishing publicly visible research papers and/or speaking at conferences. MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills Leadership Statistics - Statistical Modeling Experimentation & Causal Inference 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 $191,000-$315,000. 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 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:
Software Engineering Manager, Applications (Hybrid) 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. The Observability organization builds and maintains the foundational systems that help developers and operators understand, monitor, and troubleshoot their applications and infrastructure. This includes end-to-end ownership of metrics, logs, and traces-covering ingestion, storage, querying, and visualization. The team develops SDKs and integrations for instrumentation, builds scalable platforms for data collection and analysis, and provides intuitive UIs and tools to support triaging and root-cause analysis. The goal is to deliver reliable insights into system behavior, performance, and health-enabling fast, data-driven responses to incidents and performance regressions. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA 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 Observe team builds and maintains the observability platform responsible for metrics, logs, and traces. We create intuitive UI visualizations and effective troubleshooting tools using React, Grafana, and Go. Our mission is to help engineers quickly understand system behavior, triage issues, and resolve incidents with confidence. 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. You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. You will work with peers across teams to support and leverage a shared technical stack. You will manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. 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: Technical Leadership Communication Software Design Cross-organizational collaboration 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:
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 will be based in Sunnyvale, San Francisco, Bellevue or New York City. 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. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Responsibilities: Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions Write production quality code and influence the next generation of LinkedIn's system Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed Build scalable AI innovations with foundation and infra partners Basic Qualifications: BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience. 2+ years experience in software design, development, and algorithm related solutions. 2+ years experience in programming languages such as Java, Python, etc. 2+ years experience with machine learning, data mining, and information retrieval or natural language processing Preferred Qualifications: 4+ years of relevant machine learning experience MS or PhD in Computer Science or related technical discipline Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing. Experience with iterative, test-driven development. Experience with configuration management (SVN, GIT, ant, maven, etc.). Experience with developing and designing consumer-facing products. Experience with Hadoop, Pig, or other MapReduce paradigms. Knowledge of internals Lucene/SOLR or other information retrieval systems. Published work in academic conferences or industry circles. Suggested Skills: Experience in Machine Learning and Deep Learning Experience in Big Data Strong technical background & Strategic thinking Experience in GAI and/or LLMs 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 $134,000 - $221,000. 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 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:
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. We work in a mission-driven organization with complex business and social models and objectives. This role will require a strong understanding of LinkedIn's business, vision and concept of labor markets; a strong ability to examine complex data and and improve the way we work. At LinkedIn, we know that labor markets matter. When publicly available data and our data are used with intention, there is significant opportunity to better understand current dynamics and trends as well as to help individuals get jobs, increase career mobility, and unlock economic opportunity. This role will be based in either Sunnyvale, San Francisco or NYC depending on which area the candidate approved-for-hire chooses. 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: As a Labor Economist, you will use your background in economic research and analytics to advance thought leadership about how local and global trends and shocks to the macroeconomy and labor market influence job seeking behavior and outcomes. You will partner with business leaders and employ strategic thinking to inform decisions about LinkedIn's thought leadership, product development and user experience. You'll work closely with our multi-disciplinary team of researchers to identify and conduct research that influences how we create opportunity for LinkedIn's members and create value for our customers. You will oversee research projects, working with partners across Product, Engineering, Policy, and Marketing teams. You'll develop ongoing relationships with teams to help build sustainable, long-term impact. Your work will have high visibility from leadership. Responsibilities • Conduct applied labor and macroeconomic research to generate impact for our internal and external audiences. • Design, conduct, and analyze studies with high levels of technical accuracy. • Analyze large structured and/or unstructured data. • Communicate research findings to stakeholders and leadership. • Create frameworks and tools to allow more teams across the company to leverage your research. Basic Qualifications • Masters or PhD in Economics or related field ( e.g. Business, Statistics, Engineering, other cognitive sciences) or equivalent practical experience. • 6+ years of experience network economics and research methods applied to understanding how networks impact our behavior • Experience leading research and actionable output. Preferred Qualifications • Experience in analyzing labor markets and evaluating data collected and curated from multiple sources. • Experience working with data systems, coding in SQL, R and/or Python • Excellent communication and presentation skills. Able to present complex ideas simply, directly and elicit meaningful feedback. • Demonstrated ability to frame and solve problems in an objective way, and to lead others through efficient and structured methods of decision-making. • Ability to build collaborative partnerships with Product and Engineering teams. • Experience working effectively in a highly matrixed organization that is both dynamic and high-growth. Suggested Skills • Economic Research • Data Analysis, Econometrics • Communication • Collaboration • Strategic 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 $138,000.00 to $226,000.00 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 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:
