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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
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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:
What you will bring:

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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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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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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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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
Specializing in Payments and/or Financial Services to innovate and change the eBay Payments 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
1+ years of experience in applying AI to practical and comprehensive technology solutions [Nice to Have]

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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