Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the strategy and execution of sales compensation, ensuring transparency and effectiveness across tools and communication. Collaborate with multiple departments to enhance the compensation experience through AI and analytics.

Own product roadmap and strategy for Databricks AI platform capabilities across training, serving, feature stores, vector search and LLM infrastructure. Partner with engineering, GTM, and customer teams to drive enterprise adoption, pricing, and commercialization of ML/AI platform features.

Lead strategy and execution to transition customers to serverless workspaces. Design frictionless, governed workspace creation flows, solve workspace proliferation with admin tooling, integrate with Unity Catalog and identity, and drive KPIs (e.g., Time to First Workspace, Serverless Adoption) to increase serverless usage.

Drive FP&A for consumption growth: analyze large datasets, build and maintain financial and operational models, forecast key metrics, partner with GTM and cross-functional teams, present insights to leadership, and lead process improvements and reporting enhancements.

The Engineering Manager will lead the Spark Connect team, ensuring platform reliability and driving the OSS strategy for Databricks' Spark Connect.

Define the ecosystem strategy for Databricks, develop frameworks and tools for integrations, mentor engineers, and collaborate cross-functionally.

As a Specialist Solutions Architect, you will provide technical leadership and guidance to customers on the Databricks platform, ensuring secure and efficient cloud infrastructure. Responsibilities include designing deployments, assisting with technical sales, and mentoring team members.

The role involves designing and leading talent development programs, measuring effectiveness, and facilitating global learning initiatives for employees at Databricks.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

The AI Engineer will develop GenAI solutions, advise customers, and collaborate across teams while optimizing and deploying applications.