Sr. Product Manager - Taxonomy Catalog jobs at Ebay in India, Bengaluru

7+ years’ experience in server-side development in Java.
· 3+ years’ experience in managing teams (8-12 people), while still doing some hands-on coding
Experience with design and implementation of microservices
· Experience with Spring framework
· Experience with OO design and design patterns
· Experience in building Restful services
· Experience with databases
Bachelor’s degree in computer science
· Experience in working with agile development methodologies
· Team player that can work and support internal and external teams
· Mentoring and influencing peers, juniors and senior developers both within the organization and across eBay
· Flexibility and passion to learn new domains. Following competencies would be a great advantage:
· Major experience in multi-threading development
· Experience with Kafka in microservices environment

This person will need to work with a large number of teams within eBay to make these visions successful, so building close, effective relationships with partner Product Managers will be critical. In addition, this person will translate product strategy into detailed specifications, make functional and user interface design tradeoffs, manage product launches and own the product successes post-launch. Having the experience and ability to write clear, consistent and detailed product specs will be essential. He or she will work closely with a cross-functional team of engineering, analytics, product marketing, and user research to deliver these products.

• Act as primary liaison between partner Product Managers to ensure fluid planning, design, and development of new and existing features
• Plan roadmaps according to strong product visions, bounded by finite engineering resources
• Define product requirements including writing clear, detailed, and thorough specifications for complex features and products
• Analyze user behavior data, user experience research, and marketing research to understand and drive new features & improvements
• Work with the Design team to ensure the user interface leverages industry and eBay standards, and fits into the overall product vision of the item details page
• Work with the Product Development team to ensure extensibility and scalability with the technical design
• Work with the Quality Engineering team to ensure the final delivery meets product requirements
• Solicit feedback and communicate product benefits and changes to the user community
• Ensure product vision and requirements are defined globally and for all devices, meeting the needs of global eBay sites and mobile apps, and support the goal of a single global marketplace

Job Requirements:

• 5+ years of product management or related experience. Passionate about quality products.
• Strong understanding of user interaction, design, and research
• Strong analytic skills and ability to synthesize data from multiple sources
• Demonstrated experience in writing unambiguous and clear technical specifications
• Experience working closely with internal partners on product planning, design, and development
• Experience successfully managing multiple projects through product life cycle from concept to delivery while meeting schedules and budget
• Passionate advocate for user, and has proven results in achieving superb user experience within tight constraints
• Strong cross functional team leader
• Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly

Basic Qualifications:

• MS Master's Degree
• Degree in a technical discipline or equivalent industry experience

Responsibilities:

• Collaborate with architects and product managers to gather and analyze requirements.

• Author comprehensive software design documents to outline innovative solutions.

• Develop high-quality code with a focus on test-driven development.

• Design, implement, and maintain CI/CD pipelines for efficient software deployment.

• Develop monitoring dashboards and alert systems to ensure service performance.

• Fix and resolve production issues, providing outstanding customer support.

• M.S. or PhD in Computer Science or a related field, with a minimum of 3+ years of proven experience

• Extensive experience with LDAP and Active Directory (AD) directory services for authentication, identity management, and integration into secure cloud environments.

• Proficiency in one or more programming languages: Python, Go, C++ or Java.

• Proficient in problem-solving, with a strong understanding of data structures and algorithms and a solid foundation in core computer science concepts, including operating systems, security, databases and distributed systems.

• Experience working with both relational and non-relational databases like MySQL, MongoDB

• Experience working in any of Cloud Security Software development like Authentication, Authorization, Access management, Data encryption

Nice to have skills,

• Authentication and Authorization - OIDC, OAuth, SSO, FIDO

• Access management - RBAC, Scope Claim based access, Policy based access

• Kubernetes customization – API Server webhooks, Custom Resource definitions, Controllers

• Service mesh technologies like Istio and Envoy

• Platform Engineering: Design and implement highly available, scalable, and reliable solutions for our Batch and Event Subscription platforms.

• Operational Excellence: Troubleshoot and resolve operational issues in our ESP environment and provide timely solutions for customer-reported notification issues.

• System Maintenance: Perform regular system upgrades and vulnerability mitigations to keep our platforms secure and up-to-date.

• Automation: Work on automating routine maintenance activities to improve efficiency and reduce manual effort.

• Core Development: Apply your expertise in Core Java , Object-Oriented Programming , and Design Patterns to enhance our platforms.

• Technical Stack: You'll be working with technologies such as Spring Boot , Spring Batch , and Apache Kafka . Knowledge of Apache Airflow is a plus.

• Collaboration: You'll collaborate with cross-functional teams to understand their needs and provide technical solutions.

• 2-4 years of professional experience in software engineering.

• Proficiency in Java , with a strong understanding of object-oriented principles and data structures.

• Experience with Spring Boot and Spring Batch .

• Deep understanding of Apache Kafka or other messaging technologies.

• Knowledge of Apache Airflow is a plus

• Familiarity with CI/CD tools such as Maven and Jenkins .

• Knowledge of API design, RESTful principles , and deployment in Kubernetes/Istio

• Platform Development: Build and roll out features for our Node.js and MUSE frameworks.

• Developer Support: Provide direct support to developers, debugging issues and triaging requests in our Slack channels.

• Maintenance & Operations: Manage monthly releases, Node.js runtime upgrades, and software upgrades.

• Tooling & Automation: Enhance our software upgrade tooling and support our continuous integration and deployment pipelines with tools like NPM, Docker, and Jenkins .

• System Integration: Integrate our frameworks with critical eBay systems, including single sign-on (SSO), cloud services, logging, metrics, and security.

• Performance & Security: Conduct performance testing and ensure our platforms are secure with regular open-source security upgrades.

• Web Technologies: Work with a range of modern web technologies, including Webpack, Vite, and React .

• 2-4 years of professional experience in software engineering.

• Strong expertise in JavaScript, Typescript, Node.js, and React .

• Knowledge of web technologies - Webpack , Vite

• Experience with Kubernetes , Docker

• Experience with a range of developer tooling and workflows.

• Experience developing REST and GraphQL APIs

• A collaborative mindset and excellent communication skills.

At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.

As , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics .

This is a embedded in our , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.

What You’ll Lead & Deliver

• Optimize Product Knowledge at Scale
  Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.

• Build LLM-Powered Solutions
  Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.

• Design Model Evaluation Frameworks
  Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.

• Turn Data into Strategy
  Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.

• Prototype & Experiment Rapidly
  Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.

• Partner for Production Impact
  Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

• 7+ years of experience in analytics, data science, or ML roles

• Advanced proficiency in SQL and Python for analytics, automation, and experimentation

• Familiarity with eCommerce discovery , product classification, and search or recommendation systems

• Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)

• Strong grasp of model evaluation , including metrics design and benchmarking

• A startup mindset—bias for action, high ownership, and comfort with ambiguity

• Excellent communicator with the ability to influence cross-functional stakeholders

Why You’ll Love It Here

• Drive real impact at the core of product discovery innovation

• Work hands-on with cutting-edge AI and data platforms

• Collaborate with some of the best minds in AI, Product, and Engineering

• Own high-visibility projects in a startup-like, high-trust culture

• Build scalable, magical, and relevant product data systems used by millions

Team & Process Leadership

• Manage a blended team of Reconciliation Operations Analysts and Reconciliation Data Analysts focused on transaction-level accuracy, data recovery and ledger control.
• Works closely with the global Team and leadership to deliver on reconciliation operation goals
• Oversee T+1/T+3 reconciliation cycles across global payment processors, internal systems, and ledger platforms.
• Drive SOP compliance and internal control readiness (e.g., SOX), including documentation for audit support.

Cross-Functional Collaboration

• Work closely with Engineering, Product Managers, Finance Controllers, Risk, and Compliance teams.
• Review exception reporting and analysis with accounting.
• Follow the SOP global recon teams created to ensure alignment on reconciliations and reporting standards.

Technical Oversight

• Strong problem solving and issue investigation skill in production
• Provide strategic direction for data automation , Python/SQL scripting , and Big Data analysis to improve reconciliation coverage and efficiency.
• Review and guide implementation of machine learning models for anomaly detection, failure prediction, and reconciliation intelligence.

Required Qualifications

• 8+ years of experience in financial operations, reconciliation, data analytics , or payments ecosystems
• 4+ years of experience managing high-performing teams in a cross-functional environment
• great team ability to work across multiple offices and time zones in a very diverse setting.
• Strong tech background especially skills in SQL , Python , and familiarity with Big Data technologies (Hive, Spark, BigQuery)
• Knowledge of accounting flows, journal entries , and reconciliation automation
• Demonstrated understanding of AI/ML models (e.g., classification, clustering, anomaly detection)

Preferred Qualifications

• Experience in e-commerce , fintech , or payments operations
• Hands-on exposure to BI/reporting tools (Tableau, MicroStrategy, Power BI)
• Proven ability to scale data-driven reconciliation solutions across multiple payment channels and geographies