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

The Machine Learning Operations Engineer develops backend pipelines for deploying ML models, builds Docker containers, manages Kubernetes on GCP, and integrates APIs. Responsibilities include performance monitoring, documentation, and collaboration with software engineers.

This role involves designing and developing scalable web applications, leading projects, mentoring engineers, and ensuring quality through best practices and collaboration.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

Design and execute manual and automated tests for web applications, build and maintain test frameworks and CI pipelines, identify and track bugs, validate fixes, collaborate with product and engineering, participate in agile ceremonies, and continuously improve QA processes and tooling to ensure high-quality releases.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

As a Senior Account Executive, you will develop relationships with utility clients, negotiate contracts, support project management, and exceed sales targets. You'll leverage your industry expertise to drive business solutions in a collaborative environment.

The Customer Success Manager will manage post-sales relationships, drive customer engagement and ROI, and advocate for client needs within the Buzz Solutions platform.