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

The Director of Sales Strategy & Operations will lead sales planning, analytics, and operations, driving revenue growth and optimizing processes across teams. Collaboration with Sales, Finance, and Marketing is key to succeed.

The Solution Marketing Lead will develop and execute marketing strategies for AI-driven media and entertainment workloads. Responsibilities include creating messaging frameworks, training sales teams, and collaborating with ecosystem partners to enhance brand positioning and drive revenue growth.

As a Technical Project Manager, you will manage a defined workstream within data center and GPU infrastructure programs, coordinating with various teams to ensure timely delivery and quality. You'll work hands-on with infrastructure elements and manage dependencies and risks effectively.

Design and optimize HPC platforms for AI and large-scale data processing, implement GPU architectures, and provide technical guidance to customers.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

As a Customer Engineer, you'll be a technical advisor for Nebius GPU Cloud services, assisting clients in deploying AI solutions, optimizing GPU performance, and collaborating with sales and product teams to enhance customer satisfaction.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

As a Customer Solutions Engineer, you will support customers with deploying and optimizing GPU clusters and AI infrastructure, addressing complex technical issues and ensuring high-performance operations.