Top Tech Jobs & Startup Jobs in Seattle, WA

Lead a team of industry technical architects to drive strategic customer engagements and build repeatable reference architectures for the Snowflake AI Data Cloud. Partner with Sales, Engineering, and Marketing to translate persona-driven use cases into measurable business outcomes, run design-led workshops, create solution showcases, influence product roadmaps, and scale engagement models globally.

Lead architecture and technical strategy for Streamlit in Snowflake, evolving container and warehouse runtimes, embedding SDKs, and developer tooling. Drive cross-team programs, set standards for performance/reliability at scale, contribute code and design, mentor senior engineers, and partner with Product and Design to deliver a robust, enterprise-grade app platform.

The Staff Software Engineer will lead the development of a feature flagging and experimentation platform, collaborating with engineering teams, and building scalable infrastructure. Responsibilities include building APIs, improving system performance, and supporting junior engineers.

As a Backend Software Engineer at Snowflake, you'll build scalable backend services and APIs for enterprise data applications, ensuring performance, security, and integration with Snowflake's cloud infrastructure.

As a Solution Engineer at Snowflake, you will lead AI strategy discussions, design scalable solutions, and influence buying decisions by leveraging data and AI tools to enhance customer outcomes.

As a Staff Product Manager, you will lead the development of an AI-forward developer experience and modern test pyramid, focusing on enhancing developer workflow and validating strategies at Snowflake.

Partner with Engineering leadership to develop and execute people strategies across org design, workforce planning, talent management, and leadership development. Lead data-driven initiatives (talent assessment, succession planning, retention), coach leaders, assess organizational health, and collaborate with People COEs using insights and AI to scale people practices.

Design and build scalable training and learning platforms for physical AI: representation learning, latent world models, policy/action pipelines, generative simulators, and multimodal reasoning. Lead cross-team technical decisions, productionize research prototypes, and contribute to open research and OSS.

Build and scale an LLM post-training platform: design public training APIs and SDKs, control plane and GPU data plane, implement multi-tenant scheduling and capacity-aware routing, optimize end-to-end performance and throughput, and productionize research components for reliable enterprise-scale training and inference.

As a Staff AI Engineer on Cortex Code Quality, you will define agent behavior and build quality systems for AI coding agents, leading cross-functional teams and ensuring dependable quality in production.