Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and produce high-priority brand, campaign, product, web, social, video, and event creative. Build AI-native creative systems, reusable prompts/templates, and a flexible freelance bench. Partner across Marketing and Product to translate complex technical concepts into clear visual systems, run creative operations and measurement loops, and deliver in-product visuals and motion assets.

Lead product marketing to define positioning, vertical strategies, and go-to-market enablement for an AI platform across national security, aerospace, manufacturing, and energy. Own messaging, launches, competitive differentiation, sales enablement, demo narratives, and partner/customer-driven proof to drive pipeline and revenue while translating complex technical systems into clear market stories.

Build production-ready agentic AI applications that integrate agents, workflows, memory, reasoning, and tools to solve customer use cases. Rapidly prototype, iterate, and ship end-to-end AI experiences; design integrations and UX, ensure reliability, performance, and evaluation; partner with platform and product teams to create reusable components and customer-ready solutions.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.