At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And The Role TCGplayer connects hobbyists and hobby businesses to communities. We relentlessly improve the exchange of things and thoughts that fuel passions, providing the most compelling destination and tools for collectible card game enthusiasts and professional sellers! TCGplayer, now a part of eBay, promotes and drives growth of our products and services by connecting a global community of millions of buyers with tens of thousands of retailers in a $25B global collectible hobby market. As a Software Engineering Manager, you will lead and manage a team of engineers that focus on developing, upgrading, scaling and advancing our applications. Your team will be primarily responsible for building and maintaining TCGplayer’s Point-of-Sale product with an emphasis on supporting store operations like employee and customer management and other back office needs. You will be uplifting legacy applications into a microservice based architecture using the latest and greatest technologies. You will work closely with other development teams to bring a cohesive and intuitive selling experience to our customers across TCGplayer’s suite of tools. Due to the criticality of point-of-sale software to a seller’s business, you are someone who places extra rigor on software quality, security, observability and more. If you’re an experienced and disciplined leader, with a desire to make a difference in the way we build new tools, this might be the perfect opportunity! What You Will Accomplish Build a best-in-class Point Of Sale system for Local Game Stores, used by thousands of customers domestically and internationally, allowing them to profitably grow their business in an omni-channel environment Provide leadership and management to software engineers to create scalable software solutions for the TCGplayer platform. Coordinate with fellow Engineering Managers and Project Managers to manage inter-team dependencies and ensure the on-time delivery of software. Partner with Cloud Platform & Site Reliability Engineering to ensure we have a trusted and reliable platform for business critical in-store tooling. Consolidate redundant technologies and applications to build a stable foundation for future business growth. What You Will Bring A minimum of eight years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture with AWS for cloud infrastructure. Bachelor’s degree (or equivalent work experience) in computer science, information technology or a related field A minimum of three years of management experience Proven success providing project management artifacts in an agile environment Excellent oral and written communication skills with engineers and non-engineers alike Strong ability to coach engineers, helping them improve their skills and grow their careers (including managing remote engineers) Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the TCGplayer Careers website or apply for a job with TCGplayer. TCGplayer, a subsidiary company of eBay, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at careers@tcgplayer.com. We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And The Role eBay is seeking a Monitoring & Testing Lead to join our Ethics & Compliance team! This position will be based in Mumbai or Bengaluru, India. The role will report to the Senior Director, Global Head of Ethics & Compliance and lead the design and implementation of systems to monitor and enhance our ethics and global compliance program. What You Will Accomplish Design and implement systems for continuous monitoring of compliance-related activities and identify appropriate remediation steps and reporting Create comprehensive reports and dashboards to communicate relevant data to the Board of DIrectors and its Committees, senior management, and other key stakeholders Manage employee ethics survey including design/benchmarking, reporting, follow up action plan & materials Manage annual Conflicts of Interest Questionnaire process Conduct due diligence and ongoing monitoring of high risk third parties Collaborate with relevant stakeholders to ensure alignment with applicable requirements and timely implementation of recommended remediation What You Will Bring 4+ years of experience in Ethics & Compliance or in a related control function such as Risk, Trust & Safety, Finance, Audit Proven hands-on analytics experience, preferably within a compliance or risk management context, including technical proficiency with data analysis tools such as Excel and Tableau; skills with SQL and scripting languages such as Python or R a plus Excellent analytical and problem-solving skills, with the ability to interpret complex data sets Knowledge of risk management frameworks and practices Excellent verbal, written and interpersonal skills and the ability to communicate effectively; proficiency in English is required Bachelor’s degree Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Role We’re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies. We’re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization—someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products. In this high-agency, startup-like role, you’ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences! What You’ll Do Define & Implement Product Knowledge Strategy – Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams. Drive AI-Powered Taxonomy & Ontology Development – Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models. Improve Search & Product Discovery – Ensure our structured product data directly improves search relevance, filtering, and recommendation algorithms. Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog. Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment. Measure & Iterate – Define metrics and evaluation frameworks to supervise the impact of structured data improvements on search, recommendations, and personalization. Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence. What We’re Looking For Product Leadership in Data/AI – 6-8+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems. AI & Data Proficiency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes. Taxonomy & Ontology Expertise – Proven understanding of product classification, metadata structuring, and entity resolution techniques. Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation. Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows. High-Agency – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast. Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies. Why Join Us? Craft the AI-powered future of eCommerce product discovery. Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development. Work in a high-agency, startup-like culture where your decisions directly impact millions of users. Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce. Drive innovations that improve search, personalization, selling and product discovery. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. Role Overview: The India Analytics Center is responsible for delivering business insights and high impact analyses to the Product and Business teams within eBay. The team addresses strategic and operational questions facing the business including user behavior, performance measurement, and product and marketing efficiency. We are currently looking for an Associate Analytics Manager to join us. We are looking for a versatile and experienced Data & Business Intelligence Analyst to join our growing analytics team. This role will be pivotal in bridging the gap between raw data and actionable business insights. You will be responsible for building and maintaining data pipelines, developing robust BI solutions, and leveraging your programming skills to automate processes and perform advanced analysis. You will collaborate closely with stakeholders to understand their data needs and deliver impactful solutions that drive data-driven decision-making. Primary Job Responsibilities Data Engineering & Pipeline Development: Design, build, and maintain scalable and reliable data pipelines using Python and related technologies to extract, transform, and load (ETL) data from various sources. Data Modeling & Warehousing: Participate in the design and implementation of data models and data warehousing solutions to ensure efficient data storage and retrieval for analytical purposes. Business Intelligence Development: Develop and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Tableau, Power BI, Looker) to monitor key business metrics and provide actionable insights. Python for Data Analysis & Automation: Utilize Python and relevant libraries (e.g., Pandas, NumPy, SciPy) to perform in-depth data analysis, statistical modeling, and automate reporting and data processing tasks. Requirements Gathering & Stakeholder Collaboration: Work closely with business stakeholders to understand their data and reporting requirements and translate them into technical specifications. Data Quality & Governance: Implement and monitor data quality processes to ensure accuracy, consistency, and integrity of data used for analysis and reporting. Adhere to data governance policies. Performance Optimization: Identify and implement optimizations to data pipelines and BI solutions to improve performance and efficiency. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for data pipelines, BI solutions, and analytical processes. Share knowledge and best practices with the team. Ad-hoc Analysis & Problem Solving: Conduct ad-hoc data analysis to answer specific business questions and troubleshoot data-related issues. Qualifications Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. 4-7 years of hands-on experience in a data-focused role with significant responsibilities in data engineering, business intelligence, and utilizing Python for data tasks. Product development exposure: Experience working on analytics or data products throughout the product lifecycle — from requirements to delivery. Knowledge of Python and relevant data manipulation and analysis libraries (e.g., Pandas, NumPy). Experience with libraries for data visualization (e.g., Matplotlib, Seaborn) is a plus. Solid understanding of relational databases (e.g., SQL Server, PostgreSQL, MySQL) and excellent SQL skills for data querying and manipulation. Experience designing, building, and maintaining ETL pipelines. Proven ability to develop compelling and insightful data visualizations using BI tools such as Tableau, Power BI, or Looker (specify preferred tool if applicable). Proven ability to support and improve analytical products that drive business decisions Familiarity with data warehousing concepts and different data modeling techniques. Strong analytical and problem-solving skills with the ability to work with complex datasets. Good communication and collaboration skills. Experience with version control systems (e.g., Git) is a plus. Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important. Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/ Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following: Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design Experience in production-grade coding in Java, and Python/Scala Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark Experience handling complexities in production software systems Excellent verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design Experience in production-grade coding in Java, and Python/Scala Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Experience in production software systems Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Machine Learning Engineer Tech Leader (T26), Product Knowledge Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data, computation of statistic, and data insights Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark Excellent verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following: Architect scalable data pipelines processing billions of items, integrating ML models. Design low-latency search/IR services on datasets of hundreds of millions of items. Craft API designs and drive integration between data layers and customer-facing applications. Design and run A/B tests in production to measure new functionality impact. If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure. Define and lead performance optimization strategies for critical systems. Collaborate on project scope and define long-term architectural vision. Develop and champion technical strategies aligned with business objectives. Lead cross-functional architectural initiatives, ensuring coherent solutions. Establish and champion organization-wide knowledge sharing and best practices. Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 8+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design Architectural expertise in production-grade systems using Java, Python/Scala. Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark). Proven ability to resolve complex architectural challenges in production software systems. Executive-level communication and collaboration skills for influencing technical direction. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Role We’re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies. We’re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization—someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products. In this high-agency, startup-like role, you’ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences. What You’ll Do Define & Implement Product Knowledge Strategy – Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams. Drive AI-Powered Taxonomy & Ontology Development – Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models. Improve Search & Product Discovery – Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms. Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog. Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment. Measure & Iterate – Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization. Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence. What We’re Looking For Product Leadership in Data/AI – 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems. AI & Data Fluency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes. Taxonomy & Ontology Expertise – Strong understanding of product classification, metadata structuring, and entity resolution techniques. Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation. Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows. High-Agency & Execution-Driven – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast. Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies. Why Join Us? Shape the AI-powered future of eCommerce product discovery. Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development. Work in a high-agency, startup-like culture where your decisions directly impact millions of users. Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce. Drive innovations that enhance search, personalization, sellingg and product discovery. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Role Overview The Tax Data Solutions team is responsible for delivering business insights and high impact analyses to the Tax function in eBay. The team addresses strategic and operational questions facing the business including process automations, business sizing and impact measurement, and data science solutions. The role is data and analytically intensive. Successful candidates will offer a strategic perspective, sound business judgment and a collaborative working style. They will possess strong intellectual curiosity, and a passion for achieving practical business impact. Primary Job Responsibilities Use SQL/Python/Alteryx to analyse data, create summarized reports and provide insights and recommendations Create Tableau dashboards for continuous monitoring of important business metrics Establish a monitoring framework for business initiatives and ensure business unit is alerted in case of Issue. Perform ad-hoc analysis to support data driven decisions for tax business Do risk assessments of new tax rules, calculate out of pocket expenses Calculate the breakage in GMV/Revenue because of tax law changes Present analysis to stakeholders independently Perform peer QC of codes and deliverables to ensure most accurate reports are sent out Build close partnership with the business unit to Identify and Explore areas of impactful analytics and operational opportunities to help drive Operational efficiencies and Cost Reduction Post-launch monitoring: measure performance of features and programs post launch and report back to product and business teams. Promote a self-serve analytics culture for the organization by educating partners on key reports, data, and interpretation best practices. Maintain a close and pro-active collaboration with other business functions like Customer Services, Legal, Product and Finance teams to ensure visibility across functions Job Skills Required Intellectual curiosity, passion for problem-solving, and comfort with ambiguity Excellent technical skills for data analysis and process development, especially SQL. Alteryx and Python skills are also good to have. A proven track record of end to end analytics - problem definition, collating the required information, analyzing the results, synthesizing and communicating a compelling argument and influencing partners to act Proficient in data visualization and Self-serve tools like Tableau Experienced in handling big data (Hadoop, Teradata, etc.) Agile experience Ability to translate commercial requirements into software solutions Capable to work independently while acting as part of a global tax team Desired Qualifications ~6 years of experience in Advanced Analytics Proven knowledge in SQL programming language. Python and Alteryx is a good to have skill. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following: Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

Bengaluru, India Engineering R0067902 Hybrid At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Applied Researcher T24, Product Knowledge Science Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do? We are looking for stellar Applied Researchers to join us and help improve, automate, and scale our data-heavy processes. Our Applied Researchers tackle such diverse and exciting projects as on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Our applied researchers make contributions to cutting edge language modeling techniques with opportunity for publications and patents. If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Help define and refine project scopes, goals, and metrics Seek scientifically valid solutions that deliver real value to eBay customers Carefully measure your output and impact in order to learn and improve over time Collaborate with Operations team to ensure the quality of any human-labeled data required Build Machine Learning models and data pipelines to deliver insightful yet practical solutions Engage with the eBay Science community promote standard scientific methodologies and processes in your field Present key technical and novel research work in public forums and conferences Minimum Qualifications BE/B.Tech with 3+ years of relevant Industry experience. Post Grad from in Computer Science, Statistics and Mathematics with 3+ years of relevant experience. Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related Experience in Production-grade coding in a high-level language such as Python or Java Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark Excellent verbal and written communication and collaboration skills Additional Qualifications 1 or more related publications in quality conferences or journals Open source tool building/commits to popular threads. Experience on Language models and KG building eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected] . We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected] . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Who Are We? Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Search Engine Optimization (SEO) and Landing Page teams define and build features that optimize the way customers browse our inventory and help them easily find and reach relevant eBay pages when searching on search engines like Google, Bing, Yahoo, etc. With literally hundreds of millions of products listed on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business. The SEO Landing Page Platform holds the buyer intent data definition for our category and model landing pages. These pages serve as important destinations for buyers who come from search engines like Google as well as those who are browsing the eBay site. The Linking Services connect those pages and enable them to show up in navigational elements like the breadcrumb and category navigation. The operational tools provide the interface for manual intervention and eventual automation of those operational tasks. What Will You Do? Develop and maintain modern, responsive web interfaces for both internal tooling and custom facing applications. Build reusable React/TypeScript components that can be used in all our experiences. Ensure SEO best practices are baked into the frontend: semantic HTML, proper meta tags, structured data, and dynamic rendering or server‐side rendering where necessary Collaborate with UX designers to translate wireframes and mockups into pixel-perfect interfaces, maintaining consistency with the design system Optimize client-side performance by implementing code-splitting, lazy loading, and efficient state management Implement accessibility standards (WCAG) to ensure the interfaces are usable by all audiences Write unit and integration tests (e.g., Jest, React Testing Library) to ensure UI stability and prevent regressions Monitor frontend performance and user experience metrics, set up alerting for runtime errors or slowdowns, and troubleshoot issues to ensure high availability Create and maintain documentation for component libraries, coding guidelines, and deployment processes Job Responsibilities Design, deliver, and maintain significant features within the SEO Platform team, ensuring stable and scalable interfaces Optimize frontend performance to achieve fast load times, minimal latency, and smooth interactions for end users and crawlers Come up with a sound technical strategy for component architecture, state management, and styling frameworks (e.g., CSS modules, Tailwind), considering project goals, timelines, and SEO impact Take point on cross-team efforts—owning the UI problem and ensuring that backend, SEO, and design teams stay in sync toward a cohesive technical solution Implement and enforce coding standards, accessibility guidelines, and responsive design principles to guarantee consistent user experiences across devices Maintain thorough documentation covering component library usage, deployment pipelines, and troubleshooting procedures Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in HTML, CSS, JavaScript/TypeScript, and principles of responsive design and performance optimization Production-grade coding experience with React (or another modern frontend framework) and TypeScript/JavaScript Familiarity with writing unit and integration tests for frontend applications (e.g., Jest, React Testing Library) Experience with build tools and automated CI/CD pipelines (e.g., Webpack, Babel) Knowledge of accessibility standards (WCAG) and SEO best practices for frontend development Excellent verbal and written communication and collaboration skills eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Machine Learning Engineer (T24), Product Knowledge Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And The Role Join TCGplayer, an eBay company, on our quest to become the most trusted trading card game (TCG) platform, connecting and empowering the hobby community. Founded by TCG enthusiasts, we operate a global marketplace and develop tools, technologies, and solutions that enable small businesses to sell TCGs efficiently and profitably at scale. As a Frontline Engineering Manager, you will play a pivotal role in driving engineering excellence and innovation, leading a team to create impactful solutions that enhance our platform and support our mission. The Engineering Team at TCGplayer is a diverse group of talented individuals dedicated to designing and implementing cutting-edge technologies that power our marketplace. We foster a collaborative environment where creativity and innovation thrive, working closely with product and UX teams to deliver seamless and engaging user experiences. Our team champions a culture of continuous improvement, leveraging the latest industry trends to build scalable and robust solutions. What You Will Accomplish Lead and mentor a team of engineers, promoting a culture of collaboration and high performance. Oversee the planning, execution, and delivery of engineering projects, ensuring quality and timely completion. Provide technical guidance to solve complex challenges and drive innovation. Collaborate with senior management to develop engineering strategies that align with business goals. Serve as the primary point of contact for engineering inquiries, facilitating cross-functional communication. Manage project budgets, identifying cost-saving opportunities without compromising quality. What You Will Bring Bachelor’s degree in Engineering, Computer Science, or a related field; Master’s degree preferred. Extensive experience in engineering roles, with proven leadership capabilities. Strong technical skills in relevant technologies and a track record of managing successful projects. Excellent communication and organizational skills, with the ability to think strategically and execute tactically. Familiarity with Agile methodologies and project management tools. Certification in relevant areas (e.g., PMP, Six Sigma) is a plus. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the TCGplayer Careers website or apply for a job with TCGplayer. TCGplayer, a subsidiary company of eBay, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at careers@tcgplayer.com. We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. We are building cutting edge recommender systems powered by the latest ML, NLP, LLM and AI techniques. We are looking for an AI leader and innovator who can lead a team of applied researchers and engineers, hire top talent when necessary, as well as get systems into production at eBay scale. The candidate will work closely with leaders and other teams from our globally distributed Recommendations organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized recommendation user experiences. This Is An Opportunity To Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users Develop and deploy state of the art AI models Deploy big data technology and large scale data pipelines Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations Qualifications MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI Experience leading a nimble engineering/research team, preferably in a ML/AI technology environment Experience with using cloud services, big data pipelines and databases Experience in Natural Language Processing (NLP) and industrial recommender systems Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high volume traffic webapp development in an industrial setting Previous publications experience with academic papers, patents/IP, or technical blogs is a plus. Links To Some Of Our Previous Work Tech Blog 2025 (Multimodal GenAI) Tech Blog 2025 (GenAI Agentic Platform) RecSys 2024 Workshop paper Google Cloud Blog 2024 eBay Tech Blog 2023 eBay Tech Blog 2022 RecSys 2021 paper Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And The Role Join TCGplayer, an eBay company, on our quest to become the most trusted trading card game (TCG) platform, connecting and empowering the hobby community. Founded by TCG enthusiasts, we operate a global marketplace and develop tools, technologies, and solutions that enable small businesses to sell TCGs efficiently and profitably at scale. As a Cloud Operations Engineer at level 25, you will be integral to optimizing our cloud infrastructure, ensuring robust, scalable, and secure operations to support our mission. The Cloud Operations Team at TCGplayer is a dedicated group of professionals focused on maintaining and enhancing our cloud-based infrastructure. We work closely with engineering and DevOps teams to ensure seamless integration and operation of cloud resources. Our team champions a culture of innovation and efficiency, leveraging the latest cloud technologies to drive performance and scalability across our platform. What You Will Accomplish Design, implement, and manage cloud infrastructure solutions to support our platform's growth. Monitor cloud environments to ensure optimal performance and reliability. Automate cloud operations processes to improve efficiency and reduce manual intervention. Collaborate with engineering teams to integrate cloud solutions into the development lifecycle. Enhance security measures and compliance across our cloud systems. Drive continuous improvement initiatives to optimize resource utilization and cloud operations. What You Will Bring Bachelor’s degree in Computer Science, Information Technology, or a related field; relevant certifications are a plus. Extensive experience in cloud operations roles, with a strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud). Proficiency in automation tools and scripting languages (e.g., Python, Terraform). Experience with monitoring and logging tools to ensure cloud system health. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment and adapt to changing priorities. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the TCGplayer Careers website or apply for a job with TCGplayer. TCGplayer, a subsidiary company of eBay, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at careers@tcgplayer.com. We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Applied Researcher T25, Product Knowledge Science Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do? We are looking for stellar Applied Researchers to join us and help improve, automate, and scale our data-heavy processes. Our Applied Researchers tackle such diverse and exciting projects as on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Our applied researchers make contributions to cutting edge language modeling techniques with opportunity for publications and patents. If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Help define and refine project scopes, goals, and metrics Seek scientifically valid solutions that deliver real value to eBay customers Carefully measure your output and impact in order to learn and improve over time Collaborate with Operations team to ensure the quality of any human-labeled data required Build Machine Learning models and data pipelines to deliver insightful yet practical solutions Engage with the eBay Science community promote standard scientific methodologies and processes in your field Present key technical and novel research work in public forums and conferences Minimum Qualifications BE/B.Tech with 5+ years of relevant Industry experience. Post Grad from in Computer Science, Statistics and Mathematics with 3+ years of relevant experience. Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related Experience in Production-grade coding in a high-level language such as Python or Java Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark Excellent verbal and written communication and collaboration skills Additional Qualifications 2 or more related publications in quality conferences or journals Open source tool building/commits to popular threads. Experience on Language models and KG building eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected] . We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected] . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Commercial Teammate (MSO Reactive) supports large merchants, high value/potential and/or new sellers with their day to day operational issues by phone/chat and email, working with the relevant key partners (e.g. Business Unit, Trust team) closely to help sellers’ maintain their standards and healthy selling practices. Providing a timely resolution as well as maintaining a positive relationship with the account management group. This teammate will be the primary point of contact for AM’s and proactively connect with sellers either via phone or emails to help resolve their issues. Responsibilities Handle day to day reactive issues with customers email and chat channel. Outreach could be phone. Complete assigned tasks and responsibilities in a timely and efficient manner Collaborate with other team members to achieve business goals and contribute to initiatives to help improve team performance and processes. Meet and exceed the turnaround time and quality of delivery as per the specified target, have an eye for details. Work as per defined processes and SLA – outlook issue process. Act as a trusted advisor to sellers and account managers on defect review/removal, eMBG case review/auctioning, technical issues, product issues, and standards and policy related issues that can hamper sales growth. Resolve issues for merchants of any eBay specific impediment to growth and sales (including defect reviews/removal, eMBG case review/action, technical issues, standards and policy related issues) Coach merchants so that issues and policies do not impede their business in future and help them develop a proactive approach to avoidance (as opposed to resolution after the fact). Including adoption of eBay tools and/or standard processes Interact with internal partners, advisors, policy makers and technical teams to assist with speedy resolution. Establish a trusting relationship between eBay and the customer while maintaining a high level of detail and accuracy. • Share timely findings with the Account Manager and key stakeholder. • Share learning with team in daily huddles for exciting/unique issue/query worked. Be empathetic to customer concerns and display a candid desire to serve with ownership through to resolution. At times, use negotiation and influence to advocate on behalf of eBay and/or the customer. Summarize and provide customer feedback to management. Conduct Outreach activities (outbound phone and/or email) including but not limited to – Outreach to customers with product/policy information/education/rollout– Outreach to customers to drive sustainable business growth for high quality sellers and help to maintain a healthy top seller community. E.g. coach customers in regard to policies that may impede progress on their account or result in selling restriction, support to correct listing that are in violation, share best practices to avoid violations etc. Handing escalation and complicated cases. Identify process gaps and share insights/process improvement which is helpful for seller/buyer. Research information using available resources to satisfy customer inquiries. Ensure high resolution %, self and be advocate within the team to meet business goals. Conducting investigation to determine whether conflicts are escalating or if new conflicts are developing. Training employees basis past escalation samples and finding root cause of the outliers High accountability to own customer issue and provide solution in 24 hrs Reviewing and identifying facts on complaints, determine appropriate solution and deliver response to customer Track complaints and makes recommendations to management designed to reduce the number of complaints. Creating weekly reports and share case study Qualification & Skills required: Graduation is Mandatory Demonstrate strong probing and problem-solving skills. Skilled in multi-tasking, including the ability to be flexible and adapt to changes quickly. Expert knowledge of MS Office especially PPT and Excel. Data interpretation and Quality insight understanding is an added advantage to succeed in this role. Ability to work well in a team environment Excellent time management, strong communication and interpersonal skills. Self-starter with a positive attitude. Ability to always remain professional. High on accountability to provide E2E solution to customer. 7+ years of experience in customer service/ecommerce/handling email or chat services. Experience in handling customer complaints is a must Quick learning ability to learn process/policy/product and become an SME Great collaboration skill to work with many team with eBay to find solution for customers Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected] . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Who Are We? Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Search Engine Optimization (SEO) and Landing Page teams define and build features that optimize the way customers browse our inventory and help them easily find and reach relevant eBay pages when searching on search engines like Google, Bing, Yahoo, etc. With literally hundreds of millions of products listed on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business. This team builds high-quality, scalable and highly-available business solutions that are used by millions of eBay users across the globe every day. We are responsible for driving organic free traffic that represents billions of dollars worth of goods and services bought on eBay. What Will You Do? You will be part of the Landing Page Data Operations team, which supports Product and Development to maintain data quality and landing page lifecycle management. As an analyst, you will be responsible for managing, analyzing, and providing data insights to enhance the quality of the underlying data that defines ebay’s category and product-based landing pages. This role requires a blend of technical skills, data analysis, and business acumen to ensure our landing pages are high-quality. Job Responsibilities Analyze landing page data to identify trends, patterns, and insights. Use data to measure the performance of different landing page variations and campaigns. Generate reports and dashboards to communicate findings and recommendations to stakeholders. Use data to forecast future trends and make data-driven decisions. Minimum Qualifications BA or BS in computer science, information science, or related area of study Strong analytical and problem-solving skills. Experience with data collection, processing, and analysis. Knowledge of web analytics and A/B testing methodologies. Ability to communicate data insights and recommendations clearly and concisely. Ability to work collaboratively in a team environment. Detail-oriented with strong organizational skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less