Top Tech Jobs & Startup Jobs in Seattle, WA

Build and own the end-to-end RevOps function: CRM and GTM tech stack administration, data hygiene, forecasting, pipeline management, deal desk execution, cross-functional coordination, post-sale instrumentation, and GTM reporting to scale sales and customer success.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.

Serve as technical lead in pre-sales: architect and demo LanceDB solutions for RAG, vector search, and ML pipelines; run discovery sessions, build POCs, onboard partners, and relay customer feedback to product and engineering.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

As a Product Manager, you will shape the roadmap, engage with users, and drive cross-team decisions while working closely with engineering on a data platform focused on AI systems.