Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.

Coordinate and manage RFx project efforts, ensuring timely responses and collaboration with stakeholders to support revenue-generating activities.

As a Staff Software Engineer at Databricks, you will develop distributed data storage and processing systems, focusing on projects like Apache Spark, Delta Lake, and performance optimization for diverse data workloads.

Build features for the Databricks platform across areas such as backend, infrastructure, systems, cloud, databases, tools, and customer-facing products. Interns manage projects end-to-end, including design, coding, and incorporating feedback, while working with engineering teams to build scalable, high-quality, secure systems. Each intern receives mentorship and collaborates with engineers, peers, and company leaders.

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.

Provide corporate legal support across M&A, venture and capital transactions, securities compliance and public-company readiness, governance, board materials, disclosure controls, antitrust counseling, international subsidiary management, ESG reporting, and cross-functional stakeholder advising to scale legal processes for a fast-growing technology company.

As a Senior Software Engineer, you'll manage billing systems for Databricks products, enhance infrastructure efficiency, and innovate pricing strategies using AI and big data.

The Engineering Manager will lead the Spark Structured Streaming team, overseeing development, recruitment, and adoption of Stream Processing technology. Responsibilities include managing technical debt, driving product vision, and fostering team growth.

This role involves enhancing security measures, leading engineering efforts in data security, and collaborating across teams to safeguard customer data.