Qureos Mentor

LinkedIn

<div>
 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, where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 The Products and Services Marketplace (PSM) organization in Product Engineering is looking for a Staff Technical Program Manager (TPM) to join our team to drive product and technology programs. In this role, the candidate will manage high-priority, high-profile programs and work closely with engineering and product leaders to drive critical programs in the organization.
 
 
 Successful candidates will have a solid track record of program management and will have demonstrated excellent technical, leadership, organizational and communication skills. In addition, the right candidate will care deeply about the products they work on, are natural motivators, cross-functional relationship builders, and champions for driving the right level of process to ensure smooth and predictable program execution in a fast-paced innovative environment.
 
 
 Our Product and Services Marketplace (PSM) vision is to become the definitive B2B commerce platform for all organizations worldwide, empowering marketers, sellers, buyers, users and customers to drive better outcomes for themselves and their businesses. The PSM strategy recognizes that we will continue to deliver value to our LinkedIn Marketing Solution (LMS) and LinkedIn Sales Solutions (LSS) businesses, and that the lion&rsquo;s share of our investment will be going to directly drive growth in these two areas.
 
 
 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.
 
 
 Responsibilities:
 
 - Own successful delivery of large, high impact and highly cross-functional programs by leveraging deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, solve for dependencies, remove impediments, and ensure timely and smooth program launches
 
 - Manage multiple concurrent projects/programs
 
 - Develop strong partnerships with engineering and product management leaders to drive focus on strategic and tactical program objectives
 
 - Drive teams and individuals in planning and executing roadmaps, releases, and work backlogs
 
 - Drive bi-annual roadmap and resource planning activities and deliverables
 
 - Ensure cross-team alignment on goals, priorities, roadmap, schedules, communications, and releases to all stakeholders
 
 - Provide reporting on project status, risks, issues and mitigation plans
 
 - Identify gaps, unblock issues, and drive alignment between groups and functions
 
 - Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning
 
 - Coach and mentor others in the best practices of modern technical planning and execution.
 
 - Possess business strategy understanding and product intuition
 
 
 Basic Qualifications:
 
 - 8+ years of full-time technical program management experience within an engineering or technical team
 
 - B.S./B.A. degree in a technical field, or equivalent practical experience
 
 
 Preferred Qualifications:
 
 - Demonstrated success managing multiple major and concurrent projects/programs
 
 - Demonstrated success driving the development program of world-class online products
 
 - Significant experience working with software engineering leadership, technical teams, individual contributors and external clients
 
 - Knowledge of complex technical ecosystems and adequate technical depth
 
 - Ability to build collaborations and create a community of leadership
 
 - Be a thought leader; someone who can help advance strategy and challenge others in the organization to make important improvements
 
 - Demonstrated conflict resolution skills combined with strong negotiation ability delivered with a high level of influence and professionalism
 
 - Agile coaching and practitioner experience (Scrum, Kanban) with multiple teams.
 
 - Experience in managing all phases of end-to-end product development
 
 - Knowledge of Internet client/server social networking applications and systems
 
 - Hands-on software development experience
 
 - Experience working on ATS integrations
 
 
 Suggested Skills:
 
 - Program Management
 
 - Agile Project Management
 
 - Cross-functional team leadership
 
 - Risk Management
 
 - Software Product Development
 
 
 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.
 
 
 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
 
 This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
</div>

Staff Technical Program Manager

<div>
 LinkedIn was built to help professionals achieve more in their careers, and everyday 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 resume &ndash; we transform lives through innovative products and technology.
 
 
 Join us to transform the way the world works.
 
 
 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:
 
 - You will own 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.
 
 - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
 
 - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
 
 - You will effectively communicate with the team, partners and stakeholders.
 
 - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
 
 - You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg)
 
 - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
 
 - You will diagnose technical problems, debug in production environments, and automate routine tasks
 
 
 Basic Qualifications:
 
 - BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 
 - 8+ years of industry experience in software design, development, and algorithm related solutions.
 
 - 8+ years experience programming in object-oriented languages such as Java, Python, Go and/or Functional languages such as Scala or other relevant coding languages
 
 - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 Preferred Qualifications:
 
 - Experience with Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto)
 
 - Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems
 
 - Experience in architecting, building, and running large-scale systems
 
 - Experience with open-source project management and governance
 
 
 Suggested Skills:
 
 - Distributed systems
 
 - Backend Systems Infrastructure
 
 - Java
 
 
 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.
 
 
 
 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
 
 This document 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, Systems Infrastructure

<div>
 LinkedIn is the world&rsquo;s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Join us to transform the way the world works.
 
 
 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 building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within Linkedin.
 
 
 The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. The Observability Experience team builds and maintains the observability platform responsible for metrics, logs, and traces. We create intuitive UI visualizations and effective troubleshooting tools using React, Grafana, and Go. Our mission is to help engineers quickly understand system behavior, triage issues, and resolve incidents with confidence.
 
 
 Responsibilities:
 
 - Work on both front-end and API layers for internal observability tools and applications - delivering incremental impact by driving innovation while iteratively building and shipping software at scale
 
 - Work with a world class team of software and systems engineers building visualizations that provide innovative insights into the observability ecosystem of LinkedIn
 
 - Effectively communicate with the team, partners and stakeholders. Collaborate with partners and internal customers to iterate and enhance current applications and features
 
 - Develop &amp; contribute to coding efforts, producing high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration
 
 - Improve the observability and understandability of various systems with a focus on improving developer productivity and platform usability
 
 - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
 
 
 Basic Qualifications:
 
 - BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience
 
 - 8+ years of programming experience in a programming language such as Golang or Python
 
 - Experience with Full Stack Web Development using JavaScript frameworks like React
 
 - Experience with building APIs using programming languages like Golang/Python etc.
 
 - Experience building web applications and services at scale
 
 - Hands on experience developing large-scale observability experiences with a good understanding of distributed systems, microservice architecture etc.
 
 - 3+ years of experience in a technical leadership position
 
 
 Preferred Qualifications:
 
 - Masters/PhD in Computer Science or a related technical discipline, or equivalent practical experience
 
 - Experience in building infrastructure, working with data, and web services on a large scale
 
 - Full-stack software engineering experience, including development of APIs
 
 - Good knowledge of TypeScript, JavaScript and React.js
 
 - Excellent communication and interpersonal skills with the ability to effectively articulate complex technical concepts
 
 - Ability to navigate complex decision-making and effectively communicate across teams
 
 - Ability to work independently and collaboratively, leading and mentoring others in observability best practices
 
 
 Suggested Skills:
 
 - React.js, Javascript, TypeScript
 
 - Golang/Python
 
 - Large-scale infrastructure
 
 
 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
 
 This document 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, Full-stack (Observability)

<div>
 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 resume &ndash; we transform lives through innovative products and technology.
 
 
 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&rsquo;s broader goals. This leader will foster LinkedIn&rsquo;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.
 
 
 Preferred experience includes:
 
 - Proven experience in building and maintaining large-scale distributed systems involving high-volume data processing.
 
 - Strong hands-on knowledge of relational and NoSQL databases, with a focus on data modeling, performance tuning, and operational reliability.
 
 - Experience with real-time data streaming frameworks (e.g., Kafka, Apache Flink, Apache Beam etc.) and event-driven architectures.
 
 - Deep understanding of system bottlenecks, data consistency trade-offs, and techniques for ensuring data integrity at scale.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
 
 Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
 
 You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
 
 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.
 
 Work with peers across teams to support and leverage a shared technical stack
 
 
 Basic Qualifications:
 
 
 - BS Degree in Computer Science or related technical discipline or related practical experience.
 
 - 9+ years experience in software design, development, and algorithm related solutions.
 
 - 9+ years experience programming experience in Java and/or C++
 
 
 Preferred Qualifications:
 
 
 - BS 10+ years of relevant work experience, MS 9+ years of relevant work experience, or PhD 7+ years of relevant work experience.
 
 - Experience in designing and building infrastructure and web services at large scale &amp; strong object oriented skills.
 
 - Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
 
 - Experience with object oriented design, coding, testing patterns, and programming languages (Java, C++ etc.).
 
 
 Suggested Skills:
 
 &bull; Technical Leadership
 
 &bull; Distributed Systems
 
 &bull; Software Design
 
 
 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
 
 
 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
 
 This document 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 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 New York City, Chicago, or San Francisco.
 
 
 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 Marketing Solutions: We help businesses achieve their marketing ROI objectives with a suite of superior products that includes native advertising and programmatic channels. We are investing in the Content Marketing ecosystem through various thought leadership initiatives that will enable us to capture the opportunity that the market provides.
 
 
 Strategic Accounts, LinkedIn Marketing Solutions, is searching for a Sr. Client Solutions Manager to manage relationships with our largest and often most complex customers. This person will leverage their knowledge of online media, communication and relationship building skills, and analytical abilities to provide campaign intelligence and campaign strategy consultation, including identifying areas where LinkedIn can provide more value to our clients. The Sr. Client Solutions Manager will be measured by their ability to build, cultivate, and partner with our clients as well as their ability to drive incremental revenue. The Sr. Client Solutions Manager is a nimble team player who is comfortable managing multiple clients, campaigns, and projects concurrently.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build trusted relationships with clients providing best-in-class customer experience by proactively identifying and solving customer challenges.
 </li>
 <li>
 Partner with cross-functional teams across Insights, Marketing, Media Operations, etc. to collaborate on campaign activation and drive toward client goals
 </li>
 <li>
 Be a consultative seller to renew and grow client investments.
 </li>
 <li>
 Proactively analyze and optimize customers&rsquo; advertising campaigns and marketing programs to make strategic recommendations to customers and ensure client objectives are achieved.
 </li>
 <li>
 Consult and own all aspects of the client&rsquo;s media campaigns including targeting, implementation, creative and content quality, optimization, performance, and proving ROI through campaign insights.
 </li>
 <li>
 Apply rigor and use technology to design account plans to meet revenue goals.
 </li>
 <li>
 Support customer communication and education including a best-in-class onboarding experience and ad hoc platform education needs.
 </li>
 <li>
 Drive new product adoption and partner technology integration to enable client success and efficiency.
 </li>
 <li>
 Collaborate with product teams to improve service offerings and campaign management tools and ensure our customer needs are met.
 </li>
 <li>
 Travel requirements: approximately 15% of the time for team offsite, LinkedIn conferences, and client meetings.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 BA/BS degree or equivalent practical experience
 </li>
 <li>
 5+ years of experience in advertising, marketing, consulting, or media
 </li>
 <li>
 1+ years of media sales, digital media account management, or consulting experience
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of auction based or programmatic campaign management and optimization experience (i.e. Google Adwords, SEO/PPC, ad exchange/trading desks)
 </li>
 <li>
 Demonstrated ability to understand marketing &amp; digital media metrics
 </li>
 <li>
 Ability to conduct regular forecasts and reports
 </li>
 <li>
 Ability to think strategically with a proven track record of achieving results by connecting a customer&rsquo;s pressures with data-driven products and solutions
 </li>
 <li>
 Demonstrated understanding of internet advertising technology and marketing automation
 </li>
 <li>
 Know-how of the digital industry landscape
 </li>
 <li>
 Ability to effectively manage time, prioritize tasks and work within deadlines with little supervision
 </li>
 <li>
 Strong executive engagement and stakeholder management skills, ownership of agency and client relationships
 </li>
 <li>
 Ability to build insights backed, narrative to support strategic sales pitches, strong storyteller
 </li>
 <li>
 Ability to work independently and collaborate cross-functionally
 </li>
 <li>
 Demonstrated commitment to understanding and prioritizing the needs of the customer
 </li>
 <li>
 Know-how of sales planning &amp; CRM tools
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Digital Advertising
 </li>
 <li>
 Digital Marketing
 </li>
 <li>
 Strategic Communications
 </li>
 <li>
 Solution-based Selling
 </li>
 <li>
 Campaign Management
 
 
 
 </li>
 </ul>
 LinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $145,000 to $222,000 (On Target Earnings). 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. Client Solutions Manager, Strategic Accounts, Marketing Solutions

<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 Tax Senior Analyst to join our team at LinkedIn&rsquo;s office in Bangalore, India. This role will focus on managing and supporting indirect tax compliance and advisory functions across India and select other jurisdictions. The ideal candidate is a proactive, detail-oriented professional with strong technical knowledge of GST, service tax, and withholding tax regulations; with the ability to manage multiple priorities in a constantly changing environment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in India indirect tax and withholding compliance ensuring accurate and timely filing of tax returns and payments
 </li>
 <li>
 Prepare monthly reconciliations, tax-related journal entries, and general ledger activities.
 </li>
 <li>
 Support indirect tax compliance across APAC and EMEA regions, as needed.
 </li>
 <li>
 Support the finance team during internal and statutory audits, particularly for indirect tax and withholding tax areas
 </li>
 <li>
 Monitor tax legislation, rulings, and case law to assess business impact and recommend process updates.
 </li>
 <li>
 Analyze tax classifications for products and services to ensure correct treatment and reporting.
 </li>
 <li>
 Ensure Oracle ERP and related systems are aligned with current tax regulations and reporting needs.
 </li>
 <li>
 Independently manage GST tax audits, including data gathering, response drafting, and coordination with auditors.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure accurate tax computation and reporting.
 </li>
 <li>
 Contribute to strategic initiatives and process improvements, offering guidance on tax best practices.
 </li>
 <li>
 Assist with special tax projects and initiatives as required
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree/ Bachelor&rsquo;s degree in Accounting/Finance/Business with 6+ years of experience in India tax (Indirect and withholding tax)
 </li>
 <li>
 5+ years tax experience within a multinational company and/or Big 4 consulting firm
 
 
 
 </li>
 </ul>
 
 Preferred Qualification:
 
 
 
 <ul>
 <li>
 Chartered Accountant with 4+ years of relevant experience.
 </li>
 <li>
 Strong written and verbal communication and interpersonal skills.
 </li>
 <li>
 Proficiency with Microsoft Excel, Word, Power point
 </li>
 <li>
 ERP system knowledge such as Oracle experience a plus
 </li>
 <li>
 High level of professional integrity, accountability, and a continuous improvement mindset.
 </li>
 <li>
 Strong analytical mindset with attention to detail and a proactive approach to identifying and resolving issues
 </li>
 <li>
 Proven ability to independently manage deadlines across daily responsibilities alongside other projects
 </li>
 <li>
 Effective communication of tax concepts to non-tax technical company personnel.
 </li>
 <li>
 Strong understanding of tax laws and filing requirements, with the ability to apply them effectively in practice.
 </li>
 <li>
 Demonstrates a proactive, hands-on approach with a strong sense of ownership and initiative
 
 
 
 </li>
 </ul>
 
 Suggested Skills:
 
 
 
 <ul>
 <li>
 Strong communication skills
 </li>
 <li>
 Data Managment
 </li>
 <li>
 Arbitration
 
 
 
 </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>

Sr Tax Analyst

<div>
 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 resume -- we transform lives through innovative products and technology.
 
 
 Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour &mdash; and tens of millions more shares and likes.
 
 
 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 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:
 
 - Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 
 - Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 
 - Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 
 - Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 
 - Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 
 - Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 
 - Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 
 - Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 Basic Qualifications:
 
 - Bachelor&rsquo;s degree or related practical experience
 
 - 2+ 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.
 
 
 
 Preferred Qualifications:
 
 - Master&rsquo;s degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 
 - 3+ 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.
 
 - Understanding of standard programming and software engineering practices
 
 - Proven track record of publishing at academic and industry venues
 
 - Ability and eagerness to program
 
 
 Suggested Skills:
 
 - Machine Learning
 
 - Generative-AI
 
 - Large Language Models
 
 
 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.
 
 
 
 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
 
 This document 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, Machine Learning

Join LinkedIn and explore 22   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.