Top Tech Jobs & Startup Jobs

Staff Accountant responsible for reconciling transactions, invoices, and statements; supporting audits; investigating discrepancies; preparing audit reports; maintaining accurate financial records; and improving accounting processes and internal controls. The role collaborates with Accounts Payable, Accounts Receivable, management, and other business partners while ensuring compliance with accounting principles and reliable financial reporting.

Own the end-to-end lifecycle of billing platform initiatives, including strategy, API-based charging and invoicing workflows, product requirements, prioritization, metrics, rollouts, and platform quality. Partner with engineering, finance, tax, payments, operations, and business teams to deliver scalable financial transaction capabilities across eBay’s global marketplace.

Lead strategic data science and analytical initiatives for eBay Trust & Risk. Analyze marketplace and transaction risks, develop predictive and quantitative frameworks, define KPIs, measure customer and business outcomes, and recommend ways to reduce losses and improve decision quality. Partner with leaders across Product, Engineering, Policy, Shipping, and Design to influence strategy, prioritize investments, and deliver measurable results.

Manage eBay’s EU government relations portfolio in Brussels by monitoring legislation, shaping advocacy strategies, engaging EU institutions, developing policy positions, and advising internal stakeholders on regulatory impacts across e-commerce, digital platforms, payments, privacy, AI, and consumer protection.

Leads data science and analytics for performance marketing, including machine learning, experimentation, campaign optimization, marketing attribution, customer segmentation, KPI development, dashboards, and reporting automation. Translates business challenges into AI-enabled analytics products, defines requirements, collaborates with engineering, and communicates actionable insights to stakeholders.

Develop analytics, experimentation strategies, and data-driven insights for AI-powered selling experiences. Design and analyze A/B tests, define product metrics, study seller behavior, build scalable analytics pipelines and dashboards, and partner with Product and Engineering to improve listing flows, seller activation, and marketplace growth. Translate complex analyses into actionable recommendations while ensuring data quality, tracking integrity, and reliable measurement.

Build scalable data platforms, pipelines, backend services, and self-service analytics tools for eBay’s data teams. Develop notebook environments, SQL editors, workflow orchestration, distributed data processing, and APIs supporting large-scale datasets. Improve platform reliability, scalability, security, and developer experience while using AI coding agents. Collaborate with engineering, analytics, data science, and product teams, contributing to testing, monitoring, documentation, and production-quality software.

Join eBay’s Analytics team to use large-scale customer and marketplace data to identify investment opportunities, evaluate ROI, optimize growth and profitability, and improve buyer and seller experiences. The role operates within the India Analytics Center in Bangalore and collaborates with business units, product managers, and global analytics teams across ecommerce functions.

Analyze buyer and seller behavior, marketplace trends, customer experiences, and business performance using SQL, Python, experimentation, causal inference, segmentation, and funnel analysis. Lead A/B testing, develop measurement frameworks and dashboards, recommend actions, and collaborate with Product, Engineering, Marketing, and Category Management. Design Agentic AI and LLM-based solutions to automate analytical workflows and improve access to insights.

Leads supply-chain analytics using statistics, predictive modeling, experimentation, AI, and data-driven storytelling. The role develops analytical frameworks, dashboards, KPI strategies, forecasts, and root-cause analyses while partnering with Product, Operations, Engineering, Customer Experience, and business stakeholders. It translates ambiguous business questions into actionable insights and supports initiatives across shipping, seller experience, customer experience, search, and monetization.