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.
 
 
 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, aligns points of view across teams and makes smart trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. This leader will foster LinkedIn's culture and values around transformation, collaboration and results. We are looking for engineers with deep expertise not just in building scalable APIs and services, but also in designing and managing high-throughput, data-intensive systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
 </li>
 <li>
 Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
 </li>
 <li>
 You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
 </li>
 <li>
 Identify, leverage, and successfully evangelize opportunities and collaborate with cross functional teams to design and build scalable platforms/products/services/tools and to improve engineering productivity in the organisation.
 </li>
 <li>
 Work with peers across teams to support and leverage a shared technical stack
 
 
 
 </li>
 </ul>
 
 Preferred Experience Includes
 
 
 
 <ul>
 <li>
 Proven experience in building and maintaining large-scale distributed systems involving high-volume data processing.
 </li>
 <li>
 Strong hands-on knowledge of relational and NoSQL databases, with a focus on data modeling, performance tuning, and operational reliability.
 </li>
 <li>
 Experience with real-time data streaming frameworks (e.g., Kafka, Apache Flink, Apache Beam etc.) and event-driven architectures.
 </li>
 <li>
 Deep understanding of system bottlenecks, data consistency trade-offs, and techniques for ensuring data integrity at scale.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BS Degree in Computer Science or related technical discipline or related practical experience.
 </li>
 <li>
 9+ years experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 9+ years experience programming experience in Java and/or C++
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 BS 10+ years of relevant work experience, MS 9+ years of relevant work experience, or PhD 7+ years of relevant work experience.
 </li>
 <li>
 Experience in designing and building infrastructure and web services at large scale &amp; strong object oriented skills.
 </li>
 <li>
 Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
 </li>
 <li>
 Experience with object oriented design, coding, testing patterns, and programming languages (Java, C++ etc.).
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Technical Leadership
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Software Design
 
 
 
 </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
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Staff Software Engineer (Enterprise Platform)

<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.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
 </li>
 <li>
 You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
 </li>
 <li>
 You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
 </li>
 <li>
 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
 
 
 
 </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 Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in designing and building infrastructure and web services at large scale.
 </li>
 <li>
 Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
 </li>
 <li>
 Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
 </li>
 <li>
 Experience building web applications and services with IDEs, ant, junit, etc.
 </li>
 <li>
 Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 API Development
 </li>
 <li>
 Programming Proficiency
 </li>
 <li>
 Performance Optimization and Monitoring
 </li>
 <li>
 Collaboration
 
 
 
 </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 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>

Software Engineer - Applications (NYC)

<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
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with and lead highly experienced and passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 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>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Master's degree OR Bachelor's degree with 5+ years of work experience
 </li>
 <li>
 5+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in computer science, statistics, engineering, mathematics, or similar quantitative discipline
 </li>
 <li>
 5+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </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.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Senior Software Engineer, Machine Learning

<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
 
 
 
 This role will be based in Bangalore, India. 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.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will design, build and operate one of the online data infra platforms that power all of Linkedin's core applications.
 </li>
 <li>
 You will participate in design and code reviews to maintain our high development standards.
 </li>
 <li>
 You will partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.
 </li>
 <li>
 You will mentor other engineers and will help build a fast-growing team.
 </li>
 <li>
 You will work closely with the open-source community to participate and influence cutting edge open-source projects
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience
 </li>
 <li>
 5+ years industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 5+ years experience programming in object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala or other relevant coding languages
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto)
 </li>
 <li>
 Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems
 </li>
 <li>
 Experience with open-source project management and governance
 </li>
 <li>
 Experience with cloud computing (e.g., Azure) is a plus.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Distributed systems
 </li>
 <li>
 Backend Systems Infrastructure
 </li>
 <li>
 Java
 
 
 
 </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.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Senior Software Engineer, Systems Infrastructure

<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.
 
 
 As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
 </li>
 <li>
 Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
 </li>
 <li>
 Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
 </li>
 <li>
 Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 </li>
 <li>
 5+ years experience programming experience in Java and/or C++
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 8+ years of relevant work experience.
 </li>
 <li>
 Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
 </li>
 <li>
 Experience with object-oriented design, coding, testing patterns, and programming languages (Java, C++).
 </li>
 <li>
 Proven coding skills in a high level language with interest and ability to learn other coding languages as needed.
 </li>
 <li>
 Experience building web applications and services with IDEs and general development practices.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Data Structures &amp; Algorithms
 </li>
 <li>
 Software Design
 </li>
 <li>
 Java
 
 
 
 </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.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Senior Software Engineer - Applications

<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.
 
 
 This role is based in Bangalore.
 
 
 LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world&rsquo;s workforce in ways no other company can. We&rsquo;re much more than a digital r&eacute;sum&eacute; &ndash; we transform lives through innovative products and technology.
 
 
 As a Senior Product Manager for the Enterprise Commerce Platform, you will shape the future of how LinkedIn scales our enterprise business (this includes SMBs to global organizations). You will own the platform that powers enterprise commerce across all of our lines of businesses - Recruiting, Sales, Learning and Advertising. You will lead the next wave of admin-focused innovation including proactive, in-product experiences and AI-powered agents targeted at product admins and decision makers within our enterprise customers, ultimately helping drive more value for them from their LinkedIn relationship, as well as improving productivity and ease of doing business. This is a highly visible, strategic role with impact across every enterprise transaction, product line, and customer journey.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the vision and strategy for LinkedIn&rsquo;s user and license management experiences, a critical part of our enterprise commerce platform, ensuring it can scale globally across online and offline sales motions.
 </li>
 <li>
 Drive the Admin Success track, building proactive in-product guidance, AI-driven contextual insights and recommendations, and agentic actions that empower product admins to realize more value.
 </li>
 <li>
 Partner with design, data science, and engineering to develop an admin-focused AI agent that troubleshoots issues, surfaces opportunity areas, delivers conversational insights and reports, and proactively recommends next best actions.
 </li>
 <li>
 Lead our transition to server driven UI, while continuing to improve both in-product user experiences as well as automation technology such as SCIM for auto-provisioning, bulk actions, etc.
 </li>
 <li>
 Understand and lead analyses of the competitive environment, customer needs, and product metrics to inform platform enhancements and admin success capabilities.
 </li>
 <li>
 Translate complex technical considerations into clear product requirements, decisions, and trade-offs while collaborating with cross-functional teams.
 </li>
 <li>
 Communicate the product vision, roadmap, and value proposition clearly to executives, internal stakeholders, and customers.
 </li>
 <li>
 Develop a comprehensive product and go-to-market roadmap that aligns with LinkedIn&rsquo;s enterprise growth strategy and business goals.
 </li>
 <li>
 Write product requirements (PRDs), lead product planning, and execute product design to deliver high-quality, impactful experiences.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 BS degree in a technology-related field
 </li>
 <li>
 6+ years of experience in product management or equivalent role
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 MBA or advanced degree in a relevant field
 </li>
 <li>
 Experience building enterprise-grade web products, with a demonstrated ability to drive end-to-end product development and launch
 </li>
 <li>
 Background in complex enterprise systems (e.g., user/license management, enterprise identity, SCIM, bulk actions and workflows, automation, etc.)
 </li>
 <li>
 Familiarity with AI/ML applications in product experiences, particularly conversational or agentic interfaces
 </li>
 <li>
 Strong communication and storytelling skills, with the ability to influence technical and non-technical audiences alike
 </li>
 <li>
 Track record of driving impact across highly cross-functional, global teams
 
 
 
 </li>
 </ul>
 
 Suggested Skills
 
 
 
 <ul>
 <li>
 Product Management
 </li>
 <li>
 Complex Enterprise Systems
 </li>
 <li>
 AI/ML Applications
 </li>
 <li>
 Cross Functional Collaboration
 </li>
 <li>
 Story Telling
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Senior Product Manager - Enterprise Commerce

<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
 
 
 
 The Partner Solution Engineering Manager will have deep expertise in LinkedIn&rsquo;s API products and technical solutions. You will manage a global team of solution engineers and work closely with LinkedIn&rsquo;s business development, product &amp; engineering teams at LinkedIn to scale our enterprise partner offerings for our mutual customers. You will develop strong relationships with internal stakeholders to launch new API products and help enterprise partners integrate. You will drive adoption of LI&rsquo;s API products in the product and services marketplace by managing a portfolio of high touch enterprise partners or lead product adoption across a broad base. You will be responsible for strategic planning and performance management. You should understand feature gaps in API, product, or partner offering and build solutions to address gaps and drive client success. Your team should understand and document the enterprise partner&rsquo;s technical implementation nuances. Facilitate enterprise partners with onboarding, provide technical development and coding support, and provide guidance to partners during beta and pre-launch activities. You should also bring innovation with respect to automating partner onboarding experience.
 
 
 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 manage the performance and career development of a team of Solutions engineers, and own significant parts of scaling and adoption for LinkedIn API products.
 </li>
 <li>
 You will participate with senior management in developing a long-term integration partnership &amp; platform roadmap.
 </li>
 <li>
 You will be a role model and professional coach for solutions engineers with a strong bias for action and focus on craftsmanship.
 </li>
 <li>
 You will work with peers across teams to support and leverage a shared integration platform feature set.
 </li>
 <li>
 You will represent the voice of partners and lastly influence leadership to help understand industry trends &amp; partner platforms.
 </li>
 <li>
 You will ensure high quality monitoring of data and integration quality by operationalizing processes to detect abusive partners and revoke access.
 </li>
 <li>
 You will provide guidance &amp; execution of partner onboarding, development sandbox &amp; certification automation areas.
 </li>
 <li>
 You will improve adoption scale &amp; operation efficiency of partner engagements
 </li>
 <li>
 You will showcase strong leadership in release management
 </li>
 <li>
 You will provide high-quality solution consultation on industry standards for partner onboarding &amp; support experience
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
 </li>
 <li>
 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
 </li>
 <li>
 5+ years of industry experience in software design, development, and large-scale software engineering
 </li>
 <li>
 Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.)
 </li>
 <li>
 Experience in creation and execution of API product, platform &amp; partner strategy and roadmap
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 MS or PhD in Computer Science or related technical discipline
 </li>
 <li>
 2+ years of hands-on software engineering/technical management and people management experience
 </li>
 <li>
 7+ years industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
 </li>
 <li>
 Actively coached, mentored and grew team members in their careers
 </li>
 <li>
 Released several large-scale API products with dependencies across multiple teams spread out geographically.
 </li>
 <li>
 Exceptional written, presentation, and oral communication skills, with the ability to create and present solutions to partners.
 </li>
 <li>
 Experience working with cloud platforms such as Azure and AWS
 </li>
 <li>
 Strong understanding of Partnerships and Business Development
 </li>
 <li>
 Passion for creating and sharing developer-focused content online or at events.
 </li>
 <li>
 Deep understanding of developer ecosystems and developer communities
 </li>
 <li>
 Experience working with legal and policy teams while developing software solutions
 </li>
 <li>
 Experience integrating enterprise services, either as a consumer or provider
 </li>
 <li>
 Experience managing external partners/customers and collaborating with product, business development, and engineering teams.
 </li>
 <li>
 Effective communication skills and ability to collaborate with cross-functional teams
 </li>
 <li>
 Previous experience in talent management &amp; hiring integrations background is a big plus
 </li>
 <li>
 Good understanding of System Design &amp; Application Development, Distributed Systems,
 </li>
 <li>
 Experience with HTTP &amp; REST APIs, API Gateway, and API Security (e.g., OAuth2, OpenID Connect
 </li>
 <li>
 Understanding of Developer Support &amp; Tooling (Technical Documentation, Postman, SDKs, Operational Support)
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Partnerships &amp; Business Development
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 People Management
 </li>
 <li>
 Stakeholder Management
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 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>

Manager, Partner Solutions Engineering

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