Top Tech Jobs & Startup Jobs in Seattle, WA

Designs and optimizes scalable ETL pipelines and analytical datasets for Zoom’s Online business. Owns data ingestion, quality, governance, performance tuning, and model delivery across billing, checkout, growth, and revenue analytics. Builds clickstream and product telemetry datasets, applies statistical and machine learning methods, develops visualizations, and integrates ML models into production. Collaborates with Data Science, Finance, Product, and other stakeholders while providing technical guidance to peers.

Research and develop self-improving AI agents through synthetic data pipelines, privacy-preserving feedback loops, advanced evaluation frameworks, and scalable production systems. The role focuses on improving Zoom Virtual Agent performance, analyzing customer outcomes, deploying research innovations with engineering teams, and publishing findings on agent learning, synthetic data, and privacy-preserving techniques.

Designs, implements, and owns production-scale inference systems for large transformer and multimodal models. Responsibilities include optimizing CUDA kernels, inference frameworks, batching, caching, quantization, and serving infrastructure; deploying models; monitoring latency SLOs; responding to incidents; and partnering with research teams. The role also drives technical design and establishes inference engineering standards across the AI Infrastructure team.

Own the vision, strategy, roadmap, and measurable outcomes for Zoom AI Services developer experiences. Lead UX and product design, rapidly prototype AI-native workflows, and partner with engineering, research, design, developer relations, and go-to-market teams to launch developer platforms and AI products. Drive adoption, activation, retention, and customer satisfaction while operating as a hands-on individual contributor.

Own Zoom Chat’s enterprise admin, compliance, external collaboration, permissions, and trust-model roadmap. Translate regulatory requirements into product features, build analytics and dashboards, and deliver consistent experiences across desktop, mobile, and web. Partner with Engineering, Design, Data Science, Security, Legal, and go-to-market teams to prioritize, launch, and iterate enterprise capabilities for regulated customers.

Build and optimize production AI inference systems for transformer and multimodal models. Responsibilities include extending inference frameworks, improving batching, decoding, caching, quantization, and multi-GPU serving, profiling GPU workloads, benchmarking performance, supporting new model architectures, and contributing to production operations. The role requires strong Python and C++ skills, GPU performance expertise, and experience modifying inference frameworks such as vLLM, SGLang, or TensorRT-LLM.

Own organic product-led growth for Zoom AI productivity products. Responsibilities include developing product messaging, creating and publishing demos, tutorials, social content, emails, and web copy, optimizing SEO/AEO and signup funnels, running conversion experiments, distributing platform-native content, measuring acquisition and adoption, and partnering with product, design, engineering, and marketing teams.

Lead the Platforms DevOps team managing Kubernetes clusters and cloudops infrastructure. Drive automation, cost optimization, security improvements, cross-team collaboration, and team development while overseeing CI/CD, incident response, and production reliability.

Leads Zoom’s technical SEO and AEO roadmap across CMS platforms, web applications, APIs, and frontend frameworks. Owns crawlability, indexability, rendering, structured data, performance, sitemaps, redirects, and internal linking. Builds reusable SEO services, automation, monitoring, dashboards, and CI/CD quality gates. Establishes technical standards and partners with SEO, Engineering, Product, Marketing, and Content teams to improve organic visibility, acquisition, pipeline, and revenue across search engines and AI discovery platforms.

Own accounting for capitalized software and cloud computing arrangements, including capitalization tracking, reconciliations, journal entries, and ASC 350-40 compliance. Prepare variance analyses, reporting packages, and balance sheet reconciliations while supporting close cycles, audits, SOX controls, and financial reporting. Partner with Engineering, FP&A, IT, and Finance to improve accounting processes, data quality, ERP functionality, and AI-driven automation.