Jobs at eBay

Design and build highly scalable, resilient distributed services and APIs for eBay's Shipping Platform. Optimize low-latency data pipelines, develop automated unit/integration/E2E tests, collaborate with product and operations, mentor engineers, and drive architectural and productivity improvements.

Own global strategy and operations for eBay seller discovery and storefronts. Develop business cases, identify buyer and seller needs, influence product roadmaps, lead go-to-market strategies, and track initiative KPIs. Partner cross-functionally with product, technology, marketing, trust, and seller engagement teams to deliver business-selling outcomes and improve seller success globally.

Lead eBay’s corporate strategy and cross-functional strategic projects, developing market differentiation strategies, competitive intelligence, business analyses, and implementation initiatives. Partner with executives and business teams, provide thought leadership, communicate recommendations, and mentor strategy professionals. The role requires strong analytical, structured-thinking, communication, collaboration, and executive leadership skills in a dynamic, uncertain environment.

Lead Payments Data Science and Analytics for eBay Financial Services. Manage analysts, define analytics strategy and roadmaps, measure product performance, conduct A/B testing and causal inference, build predictive analytics and dashboards, and partner with Engineering, Product, and Business teams to drive cost savings, revenue growth, and product decisions.

Own and evolve eBay’s advertising campaign creation and management experiences. Define product strategy, roadmap, and backlog; prioritize opportunities using customer insights, trends, and business trade-offs; and collaborate with engineering, data science, UX, marketing, and go-to-market teams. Drive scalable, accurate, privacy-conscious, user-friendly solutions across desktop, mobile, APIs, and seller ecosystems, using AI, machine learning, and generative AI to improve seller growth and activation.

eBay is hiring ML Scientists to design state-of-the-art ranking, recommendation, personalization, and pricing models, and ML Engineers to productionize models by building ETL/ELT workflows, inference pipelines, MLOps infrastructure, deployment automation, monitoring, and cost/ performance optimization. Both roles contribute to feature engineering, model serving, observability, and maintaining production ML platform components like Zipline.

Lead technical initiatives for eBay Live shopping platform, focusing on mobile development, mentoring engineers, and ensuring efficient project execution.

Lead federated GraphQL solution design and implementation using Node.js, Spring Boot, and DGS. Own critical production services, improving availability, resilience, throughput, query performance, security, and error handling. Partner with technical leaders and product teams to establish scalable API contracts, support GraphQL migrations, and promote federation and schema-design best practices. Prototype solutions, improve engineering processes, mentor team members, and influence platform architecture across eBay.

Serve as the strategic People Business Partner for eBay's Toronto site, driving site-level people strategy, culture, engagement, leadership development, organizational effectiveness, change management, and cross-functional partnership to support scaling, workforce planning, and site experience.

Design, develop, and deploy large-scale recommender systems and ML models (including LLMs) for personalized retrieval and ranking. Build and operate big data pipelines, production MLOps, and cloud-based infrastructure to serve real-time recommendations and drive marketplace and advertising revenue.

Design, deploy, and operate enterprise SSO and IAM solutions across corporate and partner applications. Lead federation architecture (SAML/OIDC/OAuth/WS-Fed), integrate apps and APIs, analyze logs and tokens, troubleshoot complex authentication/network issues, enforce Zero Trust and contextual MFA, automate workflows with scripting, and participate in on-call rotations for production support.

Lead analytics strategy for C2C M&A integrations, driving product analytics, experimentation, metric standards, AI-enabled prototypes, and cross-functional data solutions to improve seller outcomes and business performance.

Design and implement state-of-the-art models for ranking, recommendations, personalization, and pricing. Develop core ML platform and feature engineering systems (Zipline). Productionize research models by building ETL/ELT workflows, inference pipelines, and deployment automation. Implement MLOps, model serving, monitoring, observability, and optimize model performance SLOs and system costs.

eBay is hiring ML Scientists and ML Engineers to design advanced models for ranking, recommendations, personalization, and pricing, and to productionize those models. Responsibilities include feature engineering with Zipline, building ETL/ELT and inference pipelines, MLOps, model serving, monitoring, deployment automation, and cost/performance optimization.

Lead and develop a team of data engineers building scalable real-time and batch pipelines and cloud data platforms. Set technical direction, manage major initiatives, and establish practices for architecture, testing, observability, reliability, and operational excellence. Partner with Product, Data Science, Analytics, and Engineering teams to deliver trusted data solutions supporting analytics, experimentation, machine learning, personalization, and high-volume marketplace experiences.

Design, build, and operate scalable real-time and batch data pipelines using Kafka, Spark, Flink, Airflow, Databricks, AWS, and dbt. Implement data quality frameworks, optimize distributed workloads, and develop reliable cloud-native data platforms. Own initiatives from architecture through production support while collaborating with Data Science, Product, Analytics, and Engineering teams. Create reusable engineering patterns, improve system scalability and performance, and maintain documentation for critical data systems.

Design, develop, and own scalable real-time and batch data pipelines using Kafka, Spark, Flink, Airflow, Databricks, and AWS. Implement data quality frameworks, oversee projects from design through long-term support, identify scalability risks, document systems, and collaborate with data science, product, and engineering teams to guide technical roadmaps.

Lead global strategy for eBay Live: define long-term vision and strategic principles, create goal architecture and OKRs, own consumer and competitive intelligence, synthesize research into strategic implications, identify top priorities and risks, and produce recommendations to align senior leadership.

Lead the eBay Live Cross-Border Trade initiative as the product manager, overseeing product vision, strategy, and execution to optimize user experience and drive global engagement.

Own the vision, strategy, roadmap, development, adoption, and continuous improvement of eBay’s experimentation platform. Partner with users, design, engineering, and product teams to define requirements, prioritize investments, launch capabilities, and measure outcomes. The role requires expertise in experimentation fundamentals, runtime and triggering, analysis pipelines, and monitoring for bias, novelty, and interference, along with strong strategic, analytical, communication, collaboration, and delivery skills.