Senior Manager Knowledge Science jobs at Ebay in India, Bengaluru

You will be responsible for creation of concept, design, development, testing and maintenance of applications for reliability, security, manageability, scalability, extensibility, performance, and re-use; provides technical expertise in the areas of architecture, design, and implementation. Works with technical and business team members to create excellent software. You will help determine the best implementation that will meet the design of the Application Architect. Ensures that thorough unit and component testing is carried out. Sets and adheres to software coding and style guides to ensure consistency.

What you will accomplish:

• Design and architect scalable, highly available, and fault-tolerant systems
• Own the development and optimization of our core applications using Python & Java, ensuring high-quality standards are maintained
• Work closely with cross-functional partners to understand requirements and translate them into effective technical solutions
• Ensure security best practices are coordinated into our development and deployment processes
• Stay current with new Python/Java/JavaScript development, and architectural standard methodologies
• Manage a team of technical professionals to align, commit & deliver common purpose of this team
• Lead by example, giving high-quality code reviews, and encouraging a culture of excellence and continuous improvement

What you will bring:

• Experience in building large scale Web Services and Backend Applications using Java/J2EE, RESTful Web Services, HTTP and JSON technologies
• A minimum of 12+ years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture for cloud infrastructure
• Bachelor’s degree and 15+ years (or) a MS in Computer Science and 12+ years of software design and proven experience
• A minimum of five years of management experience
• Proven success providing project management artifacts in an agile environment.
• Excellent problem-solving abilities and strong oral and written communication skills with engineers and non-engineers alike
• Strong ability to coach engineers & great at mentoring, helping them improve their skills and grow their careers (including managing remote engineers)
• Strong sense of ownership, embrace differences and disagreement to get things done and move forward.
• Knowledge of networking, security, and database design. Design & Implemented CI/CD pipelines.
• Proficient in microservices, event driven architecture and container orchestration tools (e.g., Kubernetes, Docker).

• Developed and drove adoption of technical patterns that significantly improved engineering practices across the organization.
• Expertise in Python & Java, with a deep understanding of its ecosystems and frameworks.
• Expertise with Node.js / JavaScript / Scala is a plus
• 1+ years of experience in applying AI to practical and comprehensive technology solutions

What you will accomplish:

• Drive the development of high-performance backend systems, ensuring reliability and smooth integration into eBay’s complex Shipping platform
• Lead initiatives that drives shipping architectural vision and improve transaction efficiency, aiming to increase user satisfaction and system throughput
• Collaborate with cross-functional teams to introduce innovative payment features that expand eBay’s offerings and improve market competitiveness
• Mentor and support engineering peers in adopting best technical practices and fostering a collaborative environment conducive to growth and excellence
• Evaluate and implement emerging technologies that boost system performance and facilitate easier inter-operability with a fragmented global carrier network landscape

What you will bring:

• Proven experience in backend software development with expertise in logistics platform a plus
• Proven ability in architecting and scaling backend systems to accommodate substantial user and transaction growth
• Proficiency in programming languages such as Java, C++, or Python, alongside knowledge of cloud computing and microservices architecture
• Strong problem-solving skills and the ability to convey complex technical concepts to diverse stakeholders
• Experience in managing tasks with the agile methodology and familiarity with continuous integration/continuous deployment (CI/CD) pipelines
• Bachelor’s degree in computer science or a related field, or equivalent professional experience, with advanced technical projects handled independently
• 15+ years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture for cloud infrastructure

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:

• Analyze eBay’s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.

• Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.

• Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why

• Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.

• Develop strategies for channel optimization and content strategy.

• Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.

• Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).

• Provide data support for business operation, design self-service tools, dashboards etc.

• Communicate business performance in a clear and insightful way to the business.

• Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.

• Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products

Job Skills required:

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.

• A passion for understanding and serving the unique community of eBay.

• Sound business judgment and quantitative analytic ability.

• Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.

• Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.

• Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.

• Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.

Desired Qualifications:

• BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.

• 5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.

• Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.

• Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.

• Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Develop features that are modular and loosely coupled

• Able to translate product and design documents into clean, high-quality, crash-free, well-tested and maintainable production code autonomously

• Write unit tests and automation code for all shipped features

• Conduct code review for immediate team

• Develop and maintain technical documentation to support software applications.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

What you will bring:

• 4+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Experience implementing modern platform design patterns

• Understanding of testing iOS applications using platform tools

• Experience with production monitoring

• Basic proficiency with swift memory management

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Innovative, team player, excellent communication and decision-making

• Bachelor's degree in EE, CS or other related field or equivalent exp.

• Architectural Leadership: Own and evolve the architecture for risk engineering systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.

• System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.

• Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.=

• Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.

• Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.

• Technical Vision: Set the long-term technical direction for the risk engineering domain, align with enterprise architecture strategies, and ensure teams are building toward a common vision.

• Framework Development: Identify opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization.

• Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.

• Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.

• Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.

• Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.

• Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
  Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.

• Shape the next generation of risk systems that are autonomous, scalable, and continuously learning.

• Excellent in interpersonal communicatomn

• Proven experience (12+ years) in software engineering with significant experience (5+ years) in architecture roles in large-scale, distributed systems.
  

• Strong hands-on experience with:
  

  • Languages/Frameworks: Java/Kotlin, JEE, Spring, Spring Boot, Node.js, React.js, Material design, Python,

  • Messaging & Streaming: Kafka, messaging paradigms (pub-sub, queues)
    

  • Databases: RDBMS (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), distributed cache
    

  • Containers & Orchestration: Docker, Kubernetes
    

  • Big Data & Stream Processing: Hadop,Apache Flink, Apache Spark
    

• Expertise in building platforms for feature store, Nrt aggregation, online/offline data parity.

• Deep understanding of architectural patterns (microservices, event-driven systems, domain-driven design, CQRS).

• Experience in driving architecture transformations and migrations.

• Exceptional communication, presentation, and consensus-building skills.

• Demonstrated ability to influence senior stakeholders and technical teams.

• Expert in resolving performance bottlenecks.

• Experience in risk or fraud engineering systems.
  

• Strong understanding about cloud-native architectures.
  

• Experience working in large-scale eCommerce or financial transaction systems.

• Open source code committer
  

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:

• (GenAI Agentic Platform)