Top Tech Jobs & Startup Jobs

Lead Expedia Group’s enterprise creator and social growth strategy across brands and markets. Shape investment portfolios, identify scalable creator commerce and partnership opportunities, integrate brand strategies, and guide global expansion. Use performance data to measure impact across owned, paid, and earned channels. Counsel senior leaders, lead agencies, build decision frameworks and AI-enabled workflows, and develop a team while raising strategic capabilities across the organization.

Design, build, and evaluate multi-step agentic AI systems using autonomous agents, LLMs, tools, APIs, databases, and orchestration frameworks. Develop production-grade agent architectures, evaluation frameworks, and safety measures addressing prompt injection, hallucinations, reliability, latency, cost, and unsafe tool use. Collaborate with product, engineering, and research teams while applying current research to improve personalized travel experiences.

Lead design, build, deploy, and troubleshoot end-to-end Salesforce Marketing Cloud campaigns using Journey Builder, Automation Studio, AMPscript, SQL, and APIs. Own full lifecycle delivery, QA, monitoring, data processes, and peer review. Mentor junior developers, collaborate with cross-functional teams, and identify AI/LLM-driven improvements and agent-assisted workflows to optimize CRM at scale.

Own the vision, roadmap, metrics, and evaluation frameworks for search and recommendation quality across Expedia Group brands. Partner with ML Science, ML Engineering, and Search Engineering to assess ranking and recommendation models, manage relevance annotation and LLM-assisted evaluation, lead experimentation and competitive benchmarking, and translate findings into prioritized product investments. Coach PMs and influence senior stakeholders across the Search and Recommendations organization.

Lead Expedia Group’s enterprise creator and social growth strategy across brands and markets. Shape investment portfolios, identify commercial opportunities, integrate brand strategies, scale creator-led assets, and develop affiliate, commerce, loyalty, and partnership models. Use data to measure impact, advise senior leaders, lead agencies, build decision frameworks and AI-enabled workflows, and manage a team of five or more while strengthening strategic capabilities across the organization.

Design, build, evaluate, and deploy multi-step agentic AI systems, including autonomous and multi-agent workflows. Develop orchestration frameworks, integrate LLMs with tools and APIs, and create evaluation systems measuring reliability, latency, cost, safety, and task success. Collaborate with product, engineering, and research teams to deliver production-grade solutions while mitigating prompt injection, hallucinations, unsafe tool use, and other agentic-system risks.

Designs, builds, evaluates, and deploys multi-step agentic AI systems, including autonomous and multi-agent architectures. Integrates LLMs with tools, APIs, databases, and code execution environments. Owns evaluation frameworks measuring reliability, safety, latency, cost, and task success. Collaborates with product, engineering, and research teams to deliver production-grade solutions while mitigating risks such as prompt injection, hallucination, and unsafe tool use.

Build and operate scalable batch and real-time data pipelines, services, storage layers, and APIs. Translate requirements into data system designs, develop ingestion and transformation workflows, and improve reliability, observability, performance, and data quality. Own deployment, monitoring, incident response, and continuous improvement for data products. Collaborate with product managers, data scientists, analysts, and engineers while integrating AI/ML-enabled platforms and responsibly operating AI-driven data features.

Build, deploy, and maintain end-to-end CRM campaigns in Salesforce Marketing Cloud. Develop AMPscript/SQL solutions, manage Journey Builder and Automation Studio, perform QA, troubleshoot production issues, integrate APIs, mentor junior developers, and introduce AI/agent-assisted workflows to improve campaign performance and reliability.

Lead the research and implementation of scalable machine learning and data science solutions for customer lifetime value prediction. Apply causal analysis, deep learning, and back-testing to improve model performance, generate actionable insights, and guide business decisions. Translate complex findings for technical and non-technical stakeholders, solve ambiguous business problems, and collaborate across product, engineering, marketing, pricing, and customer service teams.