Qureos Mentor

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 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.
 
 
 Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries.
 
 
 Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more.
 
 
 Model Serving Infrastructure: this team builds low latency high performance applications serving very large &amp; complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale.
 
 
 As a Sr. Staff Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
 </li>
 <li>
 Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models.
 </li>
 <li>
 Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
 </li>
 <li>
 Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
 </li>
 <li>
 Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.).
 </li>
 <li>
 Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS/BA in Computer Science or related technical field or equivalent technical experience
 </li>
 <li>
 5+ years of industry experience in software design, development, and algorithm related solutions
 </li>
 <li>
 5+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala
 </li>
 <li>
 2+ years of experience as an architect, or technical leadership position
 </li>
 <li>
 5+ years of experience in the industry with leading / building deep learning systems
 </li>
 <li>
 Hands-on experience developing distributed systems or other large-scale systems
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 MS or PhD in Computer Science or related technical discipline.
 </li>
 <li>
 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
 </li>
 <li>
 10+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala
 </li>
 <li>
 5+ years of experience with large-scale distributed systems and client-server architectures
 </li>
 <li>
 Experience building ML applications, LLM serving, GPU serving.
 </li>
 <li>
 Co-author or maintainer of any open-source projects
 </li>
 <li>
 Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems
 </li>
 <li>
 Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 ML Algorithm Development
 </li>
 <li>
 Machine Learning and Deep Learning
 </li>
 <li>
 Information retrieval / recommendation systems
 </li>
 <li>
 Technical leadership
 
 
 
 </li>
 </ul>
 LinkedIn is committed to fair and equitable compensation practices.
 
 
 The pay range for this role is $198,000 to $326,000. 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.
 
 
 
 Additional Information
 
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Sr. Staff Software Engineer, AI Infra

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; 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.
 
 
 
 Job Description
 
 
 
 This role will be based in Mountain View, CA.
 
 
 The Infrastructure TPM team drives large-scale modernization and migration initiatives across LinkedIn&rsquo;s advanced infrastructure, including in-house data storage and analytics systems, entity management platforms, query and serving layers, and experimentation platforms. The broader Online Infrastructure organization is responsible for building LinkedIn&rsquo;s next-generation platforms&mdash;spanning application and service delivery, compute, massively scalable storage and replication systems, search, AI/ML platforms, experimentation, and privacy and compliance.
 
 
 In this role, you will work alongside some of the best engineers in the industry, applying deep systems thinking and technical judgment across distributed systems, APIs, and large-scale platform architectures. LinkedIn has pioneered and continues to maintain industry-leading open-source technologies such as Apache Kafka, Pinot, Samza, Azkaban, Venice, DataHub, and others, while also leveraging industry standards like Kubernetes, gRPC, and GraphQL. You will help shape programs that operate at extreme scale while contributing to technology that impacts millions of people globally.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Provide clarity on product program objectives, ensuring that roles and responsibilities are well understood and address any conflict in a timely manner with minimal direction and assistance from management.
 </li>
 <li>
 Interact with executive sponsors and change agents to identify scope, requirements, and manage projects throughout the entirety of the project lifecycle.
 </li>
 <li>
 Facilitate and drive large cross-functional projects, serve the needs of multiple stakeholders within a complex multi-faceted organization, and manage that strategy through to completion.
 </li>
 <li>
 Apply formal change management practices that ensure that product programs are baselined at kickoff and all changes are thoroughly reviewed for justification impact to the program and have received appropriate approvals.
 </li>
 <li>
 Anticipate product program risks and issues and work to provide resolutions which ensure that stakeholder expectations are set appropriately.
 </li>
 <li>
 Communicate information to diverse audiences including translating subject matter terminology into clear business terms and program relevance.
 </li>
 <li>
 Facilitate straightforward decisions from complex situations that keep teams and projects moving forward.
 </li>
 <li>
 Establish and manage end-to-end processes with various stakeholders in collecting, evaluating and fulfilling their requirements.
 </li>
 <li>
 Demonstrate data analysis expertise to develop and communicate meaningful insights, define metrics, and make recommendations on key infrastructure scaling initiatives.
 </li>
 <li>
 Deliver solution design specifications and technical requirements for the development and improvement of capacity planning tools and automation.
 </li>
 <li>
 Apply business acumen to formulate practical and effective program management approaches to identify optimization opportunities, influence business partners, and drive effective decision making.
 </li>
 <li>
 Conduct &ldquo;what-if&rdquo; simulations and proactively identify potential capacity issues and partner with product and service owners to minimize risk and reduce cost-to-serve.
 </li>
 <li>
 Build and deliver impactful presentations that tell a persuasive story with convictive insights, not just data.
 </li>
 <li>
 Manage executive project expectations including owning escalation, communication, and exec level interaction on critical strategic projects for the company.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 B.S./B.A. Engineering, Computer Science or related technical field, or equivalent practical experience
 </li>
 <li>
 5+ years of experience in Technical Program and Product management, including feature development, roadmap management and experience in Agile Methods within an SRE or infrastructure team.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 2+ years of technical leadership with a track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner.
 </li>
 <li>
 Demonstrated understanding of technology-based product lifecycle management including development launch and management phases and primary roles/responsibilities and deliverables of key organizational functions.
 </li>
 <li>
 Proven analytical skills to translate requirements and designs into successful action plans.
 </li>
 <li>
 Experience leading large dynamic programs and projects with cross-functional matrixed resources working in a fast paced collaborative environment.
 </li>
 <li>
 Proven ability to quickly earn the trust of sponsors and key stakeholders set direction and approach mobilize and motivate teams and execute with limited information and ambiguity.
 </li>
 <li>
 Proven problem-solving skills to anticipate the risks of non-performance and incorporate prevention and remediation measures within the implementation plan.
 </li>
 <li>
 Proven ability to work collaboratively across different functions and optimally influence senior business partners.
 </li>
 <li>
 Demonstrated conflict resolution skills combined with strong negotiation ability delivered with a high level of influence and professionalism.
 </li>
 <li>
 Attention to detail with excellent time management skills.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Program+Product Management
 </li>
 <li>
 Infrastructure Tool Development
 </li>
 <li>
 Cross-functional collaboration
 </li>
 <li>
 Strategic Roadmaps
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 LinkedIn is committed to fair and equitable compensation practices.
 
 
 The pay range for this role is $166,000 to $271,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
 
 
 The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
 
 
 Equal Opportunity Statement
 
 
 We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
 
 
 LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
 
 
 If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Sr Staff Technical Program Manager

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 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 seeking a creative, impact-oriented, and experienced Director to lead our application security, platform security, corporate identity, and enterprise security functions within the Information Security team at LinkedIn. This role touches everything at LinkedIn and has the potential to protect and improve every aspect of our systems and operations.
 
 
 You will drive our efforts to:
 
 
 <ul>
 <li>
 Secure LinkedIn&rsquo;s systems, from our products down to our infrastructure, both by working with teams developing those systems and by developing systems to better secure them, such as code scanning and cloud security enforcement.
 </li>
 <li>
 Work with other security teams to ensure that the systems we are building (such as security infrastructure) are secure and to collaborate with the Detection &amp; Response team on red teaming and penetration tests.
 </li>
 <li>
 Secure our corporate systems. This involves developing deploying security tooling as well as working with teams such as IT to improve the security of systems like our networks and endpoints.
 </li>
 <li>
 Direct the execution of large-scale programs, managing full lifecycle operations and guiding the strategic direction of multiple security functions.
 </li>
 <li>
 Recruit, mentor, and manage a high-performing team, fostering a culture of excellence and continuous growth.
 </li>
 <li>
 Manage our corporate Identity management infrastructure.
 
 
 
 </li>
 </ul>
 Key Deliverables and Measures of Success (Next 12 months)
 
 
 <ul>
 <li>
 Develop management practices to improve reliability, quality and performance of security services built and operated by enterprise security.
 </li>
 <li>
 Deliver key enterprise security improvements, such as Zero Trust, endpoint protection, and sophisticated management of security
 </li>
 <li>
 Drive the short, medium, and long-term roadmap for the team.
 </li>
 <li>
 Develop talent on the team, unlocking future opportunities and potential.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 10+ years in security engineering leadership.
 </li>
 <li>
 10+ years in security of production and enterprise systems, with 5+ of those years in a technical or people leadership position.
 </li>
 <li>
 4+ years experience in one or more of the following areas: application security, production security, and/or enterprise security.
 </li>
 <li>
 Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 10+ years in cybersecurity for a highly regulated industry (e.g., finance, healthcare, energy) or technology.
 </li>
 <li>
 Have a proven track record of developing and implementing successful cybersecurity strategies, including defense-in-depth.
 </li>
 <li>
 10+ years&rsquo; experience in securing large systems.
 </li>
 <li>
 5+ years experience with large-scale distributed systems and client-server architectures.
 </li>
 <li>
 Extensive understanding of secure software engineering for production systems, securing commercial off the shelf software in corporate environments, and experience running large scale corporate identity management systems
 </li>
 <li>
 Strong leadership abilities in order to communicate and drive cross-functional efforts.
 </li>
 <li>
 Ability to lead by example and inspire a diverse, geographically-distributed team to perform at a very high level.
 </li>
 <li>
 Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization.
 </li>
 <li>
 Make security-informed decisions that balance risk and productivity.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Large-scale distributed systems
 </li>
 <li>
 Leadership
 </li>
 <li>
 Security engineering
 
 
 
 </li>
 </ul>
 LinkedIn is committed to fair and equitable compensation practices.
 
 
 The pay range for this role is $209,000 to $343,000. 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.
 
 
 
 Additional Information
 
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Engineering Director - Information Security

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 This only is based in New York.
 
 
 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&rsquo;s mission is to get people connected to opportunity: This means our platform allows professionals to give and get help from each other, share what they know, and build new skills to get ahead. Our Creator Management team actively supports a group of top tier executives, experts and creators, helping them unlock knowledge for our 1B members. This team&rsquo;s mission is to source, nurture, uplevel and retain these important voices. Creators set off incredible ripples, helping others find their community and develop their own voice. The more people who give and get help, the faster we all grow.
 
 
 LinkedIn is looking for a Creator Management Lead to lead a team of Creator Managers working with prominent experts and professional creators on the platform, reporting into Executive Editor Laura Lorenzetti with the Global Editorial organization.
 
 
 This leader should be passionate about the idea of working with creators at scale and helping them achieve success on LinkedIn. The CM Lead will oversee a team of geographically dispersed Creator Managers, streamline team operations, set standards for creator identification and onboarding, drive new monetization initiatives and embed with cross-functional partners to grow creator success. This leader should have strong community building, creator management and strategy creation skills, as well as a desire to work in a fast-moving space where experimentation is key. They should have deep experience with monetized creator programs with a track record of successful growth.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead day-to-day operations of the Creator Management team with a focus on professional experts, creators and monetization.
 </li>
 <li>
 Evolve and grow creator management program through high-quality onboarding alongside high-touch and scaled programming, while managing and enabling a team of top creator managers to help achieve success across the team.
 </li>
 <li>
 Develop and execute content strategies tied to organic and monetization programs, tailored to professional creators, ensuring they maximize opportunities on the platform.
 </li>
 <li>
 Understand the success of creator programming using a data-driven approach, tracking against goals.
 </li>
 <li>
 Partner with cross-functional teams (Business Development, Learning, Product, Marketing, Engineering) to advocate for creator needs and influence roadmap priorities. This role will drive feedback, shape feature development, and ensure creators have the tools they need to succeed.
 </li>
 <li>
 Work with Creator Managers to continually improve the quality of published content and growth of the creator ecosystem. Help nurture important creator relationships, where needed.
 </li>
 <li>
 Act as an evangelist for our Content Development team to creators on and off the platform.
 </li>
 <li>
 Execute in a fast-paced and highly iterative environment
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 7+ years of experience
 </li>
 <li>
 3+ People management and team building experience
 </li>
 <li>
 BS/BA degree OR equivalent experience
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Strong community-building skills
 </li>
 <li>
 History building creator monetization programs
 </li>
 <li>
 Ability to think analytically, understand metrics and adjust strategy accordingly
 </li>
 <li>
 Comfortable navigating different topics and norms of any geo/sector/topic
 </li>
 <li>
 Passion for creating and executing on strategy
 </li>
 <li>
 Strong communicator, able to talk/share internally and externally about what LinkedIn is building/experiencing
 </li>
 <li>
 Persuasive communicator in multiple forms, especially in writing and presenting before groups of all sizes
 </li>
 <li>
 Can balance short-term wins against steady progress on the long-term vision
 </li>
 <li>
 An efficient manager of self, others, ideas, and projects
 </li>
 <li>
 An insatiable desire (and the ability) to learn more
 </li>
 <li>
 Ideal candidate is a LinkedIn power user who is passionate about how we can help members learn
 
 
 
 </li>
 </ul>
 
 Suggested Skills:
 
 
 
 <ul>
 <li>
 Stakeholder management
 </li>
 <li>
 Strategic thinking
 </li>
 <li>
 Effective communication
 </li>
 <li>
 Influencer management
 </li>
 <li>
 Data analysis
 
 
 
 </li>
 </ul>
 LinkedIn is committed to fair and equitable compensation practices.
 
 
 The pay range for this role is $157,000 to $255,000. 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.
 
 
 
 Additional Information
 
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Creator Management Lead

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 This role will be based in Mountain View, CA; Sunnyvale, CA (Bay Area)
 
 
 The Strategic Finance Center of Excellence (COE) is a newly formed team focused on centralizing, standardizing, and modernizing key financial operations to unlock scale, accuracy, and strategic capacity across LinkedIn. As we build for the future, this team will act as business process owners, driving design and continuous improvement across high-impact financial workflows such as accrual processes and headcount &amp; position management. The associate will be primarily focused on headcount/position management workstreams in our Marketplace/GTM business unit to begin, with additional scope coming over time. This team will also support the discovery and adoption of new tools and tackle automation opportunities.
 
 
 We are seeking a detail-oriented and process-minded Associate to join the COE. This individual will take ownership of end-to-end workstreams, working to identify inefficiencies, implement scalable solutions, and embed best practices across finance. This role is ideal for someone who thrives in complexity, enjoys solving operational challenges, and is skilled at transforming fragmented and siloed processes into structured, scalable solutions through thoughtful design and cross-functional collaboration.
 
 
 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.
 
 
 
 Responsibilities:
 
 
 
 
 Strategic Thinking
 
 
 
 <ul>
 <li>
 Business process owner for designated financial workstreams with a focus driving on consistency, scalability, and operational excellence. Designs and redesigns processes to enhance accuracy, reduce manual effort, and improve end-to-end efficiency across financial operations
 </li>
 <li>
 Contributes to strategy development with business partners, within a limited scope.
 
 
 
 </li>
 </ul>
 
 Stakeholder Influence
 
 
 
 <ul>
 <li>
 Collaborates with functional finance partners and systems teams to define processes / best practices and drive change management
 </li>
 <li>
 Leverages insights and data to develop narratives to influence stakeholders with some guidance. Deliver clear, data-informed narratives and presentations to support strategic and operational decision-making
 
 
 
 </li>
 </ul>
 
 Execution &amp; Organization
 
 
 
 <ul>
 <li>
 Ensures quality assurance of outputs and execution against defined timelines and SLAs, including validating accuracy, completeness, and adherence to agreed standards prior to delivery
 </li>
 <li>
 Operationalizes processes and supports new ideas to improve processes by providing a data-driven perspective, with the support from more senior team members. Gathers stakeholder feedback and synthesizes into data-driven recommendations.
 </li>
 <li>
 Develops standard workstreams and operational processes according to defined procedures.
 
 
 
 </li>
 </ul>
 
 Performance Management
 
 
 
 <ul>
 <li>
 Access, transform, and synthesize data from cross-platform data sources and analyze to assess, signals, trends, and risks, with some support from more senior team members.
 </li>
 <li>
 Executes ad hoc analyses to prove/disprove hypotheses and address well-defined business questions, deriving actionable insights from results.
 
 
 
 </li>
 </ul>
 
 Culture &amp; Values
 
 
 
 <ul>
 <li>
 Supports the culture and values of the organization, including diversity, inclusion, and belonging, by collaborating with and helping others and participating in organization-wide events/initiatives.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Business, Business Analytics, Finance, or related field AND minimum 1 years of experience in finance, finance accounting, management consulting, investment banking, or related field OR equivalent experience.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of relevant experience (FP&amp;A, Finance Ops or related), ideally in process design or redesign, particularly in financial operations such as expense and headcount management (e.g., accruals, position management, forecasting)
 </li>
 <li>
 Strong analytical skills with proficiency in Excel , experience in SQL and data tools (e.g., PowerBI, Tableau);
 </li>
 <li>
 Experienced in program management and owning projects end-to end (including effective communication, stakeholder management), with the ability to drive alignment across functions and complex stakeholder maps
 </li>
 <li>
 A proactive, problem-solver with strong sense of ownership paired with strong analytical capabilities to tackle complex organizational issues
 
 
 
 </li>
 </ul>
 
 Suggested Skills
 
 
 
 <ul>
 <li>
 Process Design &amp; Documentation
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Financial Acumen
 </li>
 <li>
 Data Analysis
 </li>
 <li>
 Project &amp; Change Management
 
 
 
 </li>
 </ul>
 LinkedIn is committed to fair and equitable compensation practices.
 
 
 The pay range for this role is $88,000-$128,000. 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.
 
 
 
 Additional Information
 
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Associate, Finance COE – Programs & Innovation

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 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.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience.
 </li>
 <li>
 You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology.
 </li>
 <li>
 Your specific expertise will be required to make the site delightful, secure, performant, and accessible to all our members.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BA/BS in Computer Science or related technical field or equivalent practical experience
 </li>
 <li>
 1+ years of industry experience in software design, development, and algorithm related solutions
 </li>
 <li>
 Experience programming in languages such as Javascript, HTML, CSS, Python, Java, etc.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 2+ years of relevant work experience .
 </li>
 <li>
 MS or PhD in Computer Science or related technical discipline .
 </li>
 <li>
 Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. )
 </li>
 <li>
 Expert-level knowledge of Ember.
 </li>
 <li>
 Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability.
 </li>
 <li>
 Prior experience building public API's with Java.
 </li>
 <li>
 Experience building large-scale consumer facing products.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Javascript
 </li>
 <li>
 HTML/CSS
 </li>
 <li>
 Web Development
 </li>
 <li>
 Advanced Programming Skills
 
 
 
 </li>
 </ul>
 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 $102,000 - $167,000. 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 additional information, visit: https://careers.linkedin.com/benefits.
 
 
 
 Additional Information
 
 
 
 
 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:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Software Engineer - Frontend (DPX)

Join LinkedIn and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.