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You will lead the architecture and delivery of our AI-native analytics applications, integrating insight generation with robust, scalable platform design . This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data, generate insights, and accelerate decisions.
You’ll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts, chat, and narrative, to API orchestration layers that retrieve, ground, and validate data through LLMs. You’ll lead by code, by architecture, and by influence - setting patterns, mentoring, and collaborating with analysts, data scientists, and PMs to ship meaningful outcomes fast.
Architect the intelligence layer
agentic workflows that connect user intent to data - integrating chat, worksheets, streaming, and visual explanations.
Define the application and service architecture for how AI retrieves, reasons, and presents insights (tool use, citations, schema validation).
Build for analytics at scale
Build the orchestration layer that connects user interactions to AI reasoning - handling auth, rate limits, experiments, and data retrieval pipelines.
Establish data contracts and APIs that unify metrics, events, and visualizations across analytics domains.
Elevate the user experience
Drive performance, accessibility, and visualization excellence with standardized components and fast, reliable UI states.
Champion data storytelling - enabling users to go from metric → narrative → action.
Make AI analytics safe and trustworthy
Implement grounding (RAG), output validation, PII scrubbing, prompt-injection defenses, and human-in-loop review patterns.
Optimize for observability - OpenTelemetry, tracing, latency/cost dashboards, and model performance analytics.
Grow and scale the team
Mentor teams to prototype fast, validate with data, and evolve solutions through evidence-based iteration.
Work with eBay Engineering team, AI platform team, Legal to productionalize new use cases.
5+ years building data-intelligent applications ; 2+ years shaping the design and direction of complex, insight-driven products.
Deep experience with React and the visual language of data - interactive charts, responsive layouts, and dynamic states.
Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).
Proven experience with LLM-powered systems - tool/function calling, vector search, schema validation, and performance optimization.
Familiar with modern analytics patterns - self-serve exploration, experimentation, metric stores, and KPI workflows.
Solid grounding in observability, security, and privacy - with an emphasis on transparency, traceability, and data trust.
An articulate systems thinker with a product mindset and clear communication style.
Experience with design systems and charting libraries (e.g. Highcharts, Plotly).
Background in BI or analytics platforms (e.g., Looker, Mode, Amplitude, Tableau).
Familiarity with models and software deployment (e.g. Kubernetes).
Hands-on experience implementing agent analytics or AI copilots for data exploration.
agentic UI that fuses chat, visualization, and live data into one seamless insight experience.
A resilient, observable backend that keeps agents reliable, secure, and cost-efficient.
Noticeably faster time-to-insight and growing active usage
These jobs might be a good fit

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What you'll do and learn:
Develop features and services in highly scalable and reliable frontend and/or backend systems in a distributed system environment.
Able to translate product and design documents into clean, high-quality, well-tested and maintainable production code autonomously
Write test automations and practice continuous integration.
Conduct code review for the immediate team.
Develop and maintain technical documentation to support software applications.
Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery.
Accountable for multiple subsystems within a larger domain, taking full responsibility for their entire life cycle, including design, development, testing, deployment, observability and monitoring.
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.
Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site.
Innovative, team player, excellent communication and decision-making
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
We are driving the transformation of post purchase experiences with Cancellations, Returns, Refunds, eBay Money Back Guarantee, Chargebacks, and Seller Standards products to strengthen trust on the eBay platform. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the post purchase experience for millions of eBay users everyday.
Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth.
Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly.
Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here:
Bachelor's degree in EE, CS or other related field or equivalent exp.
4+ years of experience working in front-end development using Javascript/Typescript, CSS, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Ant UI), Integration with REST/GraphQL APIs
Strong portfolio demonstrating BEM-structured CSS and understand the intricacies of how browsers work
Strong CS foundation (Data structures, Algorithms, Functional Programing)
Delivers results in fast-paced environments (agile, TDD, CI/CD)
Designs and builds scalable, distributed, available systems

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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:
Design, implement, and maintain backend services that manage the full lifecycle of SEO pages
Build and expose robust APIs that handle shopping page data for downstream consumers (frontend rendering, SEO crawlers, analytics)
Integrate SEO metadata, taxonomy updates, and internal linking rules into the data model and processing pipelines
Develop automated workflows to ingest, validate, and synchronize page information from catalog feeds, vendor systems, and content management tools
Monitor service performance, set up alerts for latency or error spikes, and troubleshoot issues to ensure high availability and data accuracy
Ensure page data integrity by implementing schema validations, consistency checks, and versioning strategies
Collaborate with infrastructure and DevOps teams to automate deployments, manage containerized environments, and optimize resource utilization
Write clean, well-documented code (e.g., Java, Python, or Node.js) for data transformations, caching layers, and background jobs
Create and maintain comprehensive documentation for service architecture, API contracts, operational runbooks, and troubleshooting procedures
Design, deliver, and maintain significant features in our SEO Platform, ensuring reliable creation and updates of the data models
Optimize backend performance to achieve the required throughput and low latency for page rendering, SEO crawls, and data retrieval
Come up with a sound technical strategy for schema design, caching, and API scalability—taking into consideration project goals, timelines, and SEO impact
Take an active part in knowledge sharing across the organization—both teaching and learning from others about backend best practices, SEO considerations, and platform architecture
Implement and enforce data integrity checks, indexing strategies, and partitioning schemes to guarantee accurate, up-to-date records
Assist in capacity planning and forecasting for future growth to ensure services scale seamlessly as the catalog expands
Recommend and execute software upgrades, migrations, or architecture improvements to keep the stack current, secure, and performant
Maintain thorough, up-to-date documentation covering database schemas, deployment processes, and troubleshooting procedures
Mentor and onboard junior engineers, sharing best practices for backend development, data modeling, and SEO-focused engineering considerations
Align engineering deliverables with cross-functional SEO initiatives, ensuring technical work supports strategic business goals and performance KPIs
Passion for technical excellence and leadership in engineering initiatives
B.Sc. or M.Sc. in Computer Science (or equivalent professional experience)
7+ years of experience designing and delivering complex backend services and/or data pipelines at scale
Expert-level understanding of Data Structures, Algorithms, Object-Oriented Design, and software architecture principles
Proven track record of production-grade coding in Java and Python/Scala, with experience integrating advanced technologies
Strong mentorship and collaboration skills, with the ability to influence technical direction and foster cross-functional alignment

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Proven expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras.
Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques.
Hands-on experience with ML Ops tools and best practices.
Proficiency in working with large scale data in hadoop and spark.
Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept).

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Responsibilities
Architecture & Development: Design, develop, and maintain scalable backend services and front-end applications that power eBay’s next-generation systems.
System Design: Drive architectural decisions, ensuring system scalability, security, and fault tolerance.
Full-Stack Ownership: Work across the stack—developing RESTful APIs, microservices, databases, and intuitive front-end interfaces.
Collaboration: Partner with product managers, architects, and cross-functional engineering teams to deliver end-to-end solutions.
Best Practices: Champion coding standards, secure development practices, and CI/CD automation.
Innovation:
Qualifications
Education: Bachelor’s degree in computer science, Engineering, or related fields.
Experience: 5 years of professional software engineering experience with demonstrated expertise in full-stack development.
Technical Skills:
Backend: Expertise in Node.js, Java , or similar backend frameworks. Strong experience with microservices, RESTful APIs, event-driven architectures , and OpenAPI Specification for API design and documentation.
Frontend: Proficiency with React.js (or similar modern frameworks) and strong UI/UX sensibilities .
Databases: Deep knowledge of SQL and NoSQL databases .
Cloud & DevOps: Familiarity with AWS, GCP, Azure or Private cloud as well as containerization ( Docker, Kubernetes ) and CI/CD pipelines .
Security & Performance: Strong grasp of secure coding practices, scalability, and performance optimization .
Version Control: Proficiency with Git and collaborative workflows.
Soft Skills: Strong problem-solving and analytical skills.
Preferred Skills
Familiarity with traffic management UI applications.
Contributions to open-source projects.
Experience in Agile methodologies.
Benefits
Competitive salary and benefits.
Professional growth and advancement opportunities.
Access to the latest tools and technologies.

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What you will accomplish:
What you will bring:

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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.
Job Requirements:
Basic Qualifications:

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You will lead the architecture and delivery of our AI-native analytics applications, integrating insight generation with robust, scalable platform design . This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data, generate insights, and accelerate decisions.
You’ll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts, chat, and narrative, to API orchestration layers that retrieve, ground, and validate data through LLMs. You’ll lead by code, by architecture, and by influence - setting patterns, mentoring, and collaborating with analysts, data scientists, and PMs to ship meaningful outcomes fast.
Architect the intelligence layer
agentic workflows that connect user intent to data - integrating chat, worksheets, streaming, and visual explanations.
Define the application and service architecture for how AI retrieves, reasons, and presents insights (tool use, citations, schema validation).
Build for analytics at scale
Build the orchestration layer that connects user interactions to AI reasoning - handling auth, rate limits, experiments, and data retrieval pipelines.
Establish data contracts and APIs that unify metrics, events, and visualizations across analytics domains.
Elevate the user experience
Drive performance, accessibility, and visualization excellence with standardized components and fast, reliable UI states.
Champion data storytelling - enabling users to go from metric → narrative → action.
Make AI analytics safe and trustworthy
Implement grounding (RAG), output validation, PII scrubbing, prompt-injection defenses, and human-in-loop review patterns.
Optimize for observability - OpenTelemetry, tracing, latency/cost dashboards, and model performance analytics.
Grow and scale the team
Mentor teams to prototype fast, validate with data, and evolve solutions through evidence-based iteration.
Work with eBay Engineering team, AI platform team, Legal to productionalize new use cases.
5+ years building data-intelligent applications ; 2+ years shaping the design and direction of complex, insight-driven products.
Deep experience with React and the visual language of data - interactive charts, responsive layouts, and dynamic states.
Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).
Proven experience with LLM-powered systems - tool/function calling, vector search, schema validation, and performance optimization.
Familiar with modern analytics patterns - self-serve exploration, experimentation, metric stores, and KPI workflows.
Solid grounding in observability, security, and privacy - with an emphasis on transparency, traceability, and data trust.
An articulate systems thinker with a product mindset and clear communication style.
Experience with design systems and charting libraries (e.g. Highcharts, Plotly).
Background in BI or analytics platforms (e.g., Looker, Mode, Amplitude, Tableau).
Familiarity with models and software deployment (e.g. Kubernetes).
Hands-on experience implementing agent analytics or AI copilots for data exploration.
agentic UI that fuses chat, visualization, and live data into one seamless insight experience.
A resilient, observable backend that keeps agents reliable, secure, and cost-efficient.
Noticeably faster time-to-insight and growing active usage
These jobs might be a good fit