Top Tech Jobs & Startup Jobs

Lead strategic partnership development across Asia Pacific, managing the full sales cycle from prospecting and evaluation through negotiation, contracting, and launch. Build senior-level relationships, grow strategic accounts, develop tailored commercial solutions, and collaborate with Finance, Legal, Product, and Marketing to deliver regional growth and measurable partner value.

Build and maintain scalable backend payment services using Java, Spring Boot, microservices, AWS, gRPC, NoSQL, and distributed-system technologies. Design APIs, data models, and service communication; own backend capabilities; collaborate with stakeholders to resolve technical problems; and adapt to Kotlin environments. The role also involves operating reliable payment platforms at global scale and integrating AI/ML-enabled tools or workflows.

Leads the vision, architecture, governance, onboarding, and delivery of Expedia Group’s enterprise metrics platform. Manages and develops engineering teams, partners with product and analytics stakeholders, drives AI-assisted platform capabilities, and establishes SLO-based standards for reliability, security, observability, quality, incident response, and cost management.

Support day-to-day compliance operations for PCI DSS, SOC 2, NIST, and privacy frameworks: collect and document evidence, manage Jira workflows, assist audits and readiness assessments, coordinate with technical teams, track remediation, and improve evidence collection and monitoring processes.

Design, build, and operate highly scalable Java backend services for Expedia’s lodging booking platform. Lead migration from monoliths and stored procedures to Spring Boot microservices, including API design, data modeling, deployment, monitoring, and incident resolution. Improve database performance and reliability, contribute to technical decisions and code reviews, mentor junior developers, and safely integrate AI-enabled tools into engineering and operational workflows.

Build and operate backend-heavy full-stack services for Expedia’s global Modern Checkout platform. Responsibilities include designing APIs and data models, developing cloud-native microservices, integrating AWS data stores and streaming systems, implementing testing and CI/CD, improving reliability and observability, decomposing monoliths, and supporting production services. The role also involves collaborating cross-functionally and using AI-assisted development tools and AI/ML-enabled solutions.

Lead and develop a team of Workday engineers and platform specialists; own Workday capabilities, operations, roadmap, architecture, integrations, security, reliability, and governance. Drive implementations, enhancements, releases, transformation initiatives, automation, AI adoption, and continuous improvement. Partner with HR, Finance, Payroll, Product, Technology, and senior stakeholders to translate business priorities into scalable solutions and measurable outcomes while managing team capacity, performance, and career growth.

Own the global non-Google SEM portfolio across Bing, Yahoo Japan, and Naver. Develop campaign structures, testing frameworks, optimization playbooks, dashboards, automation, and AI-powered workflows. Partner with Product, Engineering, Data Science, and Operations to define technical roadmaps and solutions. Serve as a search marketing subject matter expert, influence external partner roadmaps, present performance recommendations to leadership, mentor colleagues, and build organizational capability.

Own end-to-end machine learning projects supporting marketplace trust, safety, and health. Develop models, experiments, and analyses; deploy and monitor production systems; translate ambiguous business problems into scalable solutions; and evaluate impact, risk, and feasibility. Collaborate with product, engineering, operations, and trust-and-safety stakeholders while communicating technical findings and recommendations to technical and non-technical audiences.

Uses SQL, Python or R, experimentation, statistical modeling, and large-scale datasets to optimize growth marketing. Designs A/B tests, incrementality and causal analyses; builds analytical datasets, dashboards, models, and automated reporting; and translates complex findings into actionable recommendations for Marketing, Product, Engineering, and Analytics partners.