Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and budget enforcement. Integrate ML signals, collaborate with product and data teams, improve observability and reliability, lead design discussions, and mentor junior engineers.

Lead strategy and execution for Expedia Groups Business-to-Agent channel, building theses, roadmaps, experiments, and productionalizing agent-facing product features. Drive agent legibility, indexing, and agent-preference research, partner cross-functionally, lead a senior-engineer squad, and communicate outcomes to executives.

Lead product security architecture across Expedia Group: advise product and engineering teams, run threat modeling and architecture reviews, embed security and privacy into roadmaps, scale AI-enabled security tooling and automation, mentor teams, and influence org-wide security standards and strategy for cloud-native, microservices environments.

Leads a tax and compliance technology operations team supporting global tax content, jurisdiction launches, tax engines, compliance workflows, incidents, escalations, and remittance changes. Responsibilities include people management, capacity planning, operational controls, managed-service coordination, audit and regulatory readiness, stakeholder partnership, process improvement, automation, reporting, and technology roadmap influence.

Lead development of scalable marketing technologies across data, automation, and AI/ML to improve personalization, measurement, and optimization for global campaigns. Partner with engineering, data science, and analytics to define requirements, integrate generative AI into workflows, and deliver measurement and optimization tools. Conduct market analysis, define success metrics, and manage product lifecycle.

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.