Top Tech Jobs & Startup Jobs

Manages global compliance training operations, including external learning-provider relationships, content customization, multilingual delivery, SME review workflows, training deployments, reporting, overdue-training escalations, and continuous program improvements. Partners with stakeholders to drive completion of annual, new-hire, and targeted learning programs across roles and geographies.

Leads strategy and operations for Global Analytics by managing planning rhythms, priorities, executive forums, and cross-functional alignment. Translates complex analytics and AI initiatives into executive narratives, promotes AI product adoption, and develops showcases, playbooks, and communications. Tracks adoption, engagement, risks, dependencies, and business impact while partnering with senior leaders across regions and functions to drive strategic priorities and measurable outcomes.

Drive end-to-end delivery of cloud technology and AI-enablement programs. Coordinate Product, Engineering, Information Security, Corporate Services, vendors, and business partners; manage requirements, timelines, dependencies, milestones, risks, and implementation plans. Facilitate workshops and status reviews, support roadmap prioritization and estimation, resolve blockers, and communicate program progress and technical delivery risks to stakeholders and senior leadership.

Build and operate large-scale search index distribution infrastructure, including real-time and batch streaming pipelines across thousands of nodes. Design fault-tolerant distributed systems, automate cluster management, monitor system health, troubleshoot delivery and performance issues, and ensure search indexes remain fresh, consistent, and reliable. Collaborate with backend, infrastructure, and partner teams while owning components from design through production.

Performs IT audits, tests controls, identifies risks and control gaps, documents findings, and recommends remediation. Evaluates AI-related governance and controls, tracks issue resolution, supports audit reporting, and improves audit processes and AI-enabled audit capabilities. Collaborates with global teams and business partners across regions while managing multiple audit assignments.

Conduct applied machine learning and NLP research for eBay’s marketplace. Design, train, and evaluate language and multimodal models; analyze datasets; build data pipelines; validate outputs; and integrate research into scalable production systems. Collaborate with engineering and product teams, prototype novel methodologies, document findings, and monitor advances in LLMs and machine learning. A master’s degree in computer science, engineering, or a related field is required.

Designs and develops scalable software using Java, Python, Spring, modern JavaScript, APIs, microservices, and cloud technologies. Responsibilities include creating backend and frontend features, SEO and CDN initiatives, automated testing, database integration, CI/CD delivery, architecture and design documentation, and code reviews. The role requires collaboration with technical and product teams to deliver reliable, high-performance ecommerce solutions.

Build scalable, highly available software applications and RESTful APIs supporting eBay sellers and advertisers. Develop advertising and campaign-management experiences, continuously test and deploy code, and collaborate within an agile cross-functional team. Contribute to technical decisions, risk mitigation, open-source projects, engineering best practices, mentoring, and the adoption of modern data processing, storage, deployment, monitoring, and generative AI technologies.

Define enterprise IAM architecture and standards across hybrid, multi-cloud, and SaaS environments. Lead authentication, authorization, federation, and identity lifecycle solutions using modern protocols and Zero Trust principles. Influence technical strategy, review designs and code, establish security guardrails, develop roadmaps, and mentor engineers across multiple teams.

Lead architecture for eBay’s agentic customer experience platforms. Define reusable patterns spanning AI models, orchestration, retrieval, tools, workflows, policy, evaluation, and human support. Architect integrations with enterprise knowledge, APIs, transactional systems, and case management while optimizing reliability, security, scalability, latency, observability, and cost. Evaluate emerging AI technologies, validate decisions through prototypes and technical reviews, and influence architecture across multiple engineering teams.