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

The Emerging Enterprise Sales Leader will oversee a team focused on selling to the Emerging Enterprise Segment, driving revenue success, building strategic plans, and developing long-term customer relationships.

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

The Lakebase Sales Specialist drives adoption and revenue of Databricks Lakebase by engaging applications teams, conducting proof of value, and collaborating with account executives, showcasing the benefits of fully-managed Postgres for operational workloads.

The Strategic Customer Advisor will engage with executives to drive deal outcomes, coach teams, elevate sales strategies, and influence through leadership in high-stakes environments.

The Principal Demand Generation Manager collaborates with various marketing teams to execute strategic demand generation plans, ensuring alignment with company goals and driving measurable growth through data insights.

The Named Hunter Account Executive will drive SaaS sales, develop account strategies, engage decision-makers, and manage competitive deals to grow customer usage and acquisition.

Guide customers through cloud data engineering transformations, providing leadership for data projects and architecting production workloads. Collaborate with architects, deliver training, and enhance community adoption using Databricks Intelligence Platform.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.