Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Senior Counsel will manage public sector transactions, ensuring compliance with legal standards related to federal and state regulations. Responsibilities include negotiating agreements, providing guidance on procurement rules, advising on cybersecurity frameworks, monitoring regulatory changes, and collaborating with various teams to align legal strategies with business goals.

The Sales Director will lead a team of Account Executives to achieve sales targets and drive new business. Responsibilities include developing strategic sales plans, building customer relationships, and coaching team members in sales techniques. The role requires strong leadership and communication skills, and a background in high-growth SaaS environments.

As a Senior Technical Solutions Engineer, you will provide technical support for the Databricks Platform, troubleshooting complex customer issues and offering best practices. You will assist customers with their Databricks journey while enhancing your knowledge of the platform and contributing to documentation and knowledge articles.

Lead the development of a cloud-native Vector Search service, manage a team, and define engineering roadmaps while ensuring high service availability and team growth.

As a Digital Native Account Executive, you will sell to high-growth, venture-backed companies, focusing on understanding and communicating the value of Databricks' technical products. Responsibilities include influencing data strategies, exceeding sales targets, and effectively targeting enterprise accounts. The role requires a deep understanding of both existing and potential customer needs and sales methodologies.

The Engineering Manager for the Lakeflow Platform is responsible for leading an engineering team to develop advanced ETL features, overseeing recruitment and professional growth, shaping technical strategy, managing technical debt, and ensuring high-quality infrastructure services.

As a Senior Applied AI Engineer at Databricks, you'll enhance engineering systems using machine learning and optimization algorithms. Responsibilities include building scalable ML infrastructure, engaging with teams on AI model development, and contributing to the AI community through research and open-source participation.