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.

The Staff Technical Writer will create documentation for data products, collaborate with engineers, and organize content around customer use cases.

Design AI-native BI experiences that make analytics and generative AI intuitive, trustworthy, and actionable. Drive end-to-end product design from exploration to validation to action, collaborate with engineers and product, lead complex projects, engage strategic customers, and define new enterprise AI/BI design patterns.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

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.

Serve as a trusted Sales Finance advisor: build financial models, analyze KPIs and usage trends, track bookings and forecasts, improve reporting and processes, partner with sales strategy and operations, and deliver executive-level insights and recommendations to finance and sales leadership.

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.

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.

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

The Partner Engineer supports partners in building data collaboration strategies on Databricks, focusing on data sharing, governance, and productization, while leading technical engagements and troubleshooting issues.