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

The Senior Solutions Engineer drives customer acquisition and success through presales activities, technical demonstrations, and collaboration with sales teams to ensure seamless deployment and go-live.

Lead program execution for technical product initiatives, using advanced SQL and AI-assisted tools to analyze data, build dashboards, automate workflows, and drive operational improvements. Coordinate cross-functional workstreams, manage risks, maintain documentation, and present analytical findings to support product strategy and delivery.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

As a backend software engineer, you'll build and maintain a high-performance server application for a radiology platform, improve application quality, and collaborate with various teams.

The Game Facilitator guides players during check-in and gameplay, ensuring a high-quality customer experience in a fast-paced environment.

The QC Analyst will perform quality control reviews of various assays, ensuring compliance with GxP requirements and supporting investigations and validations in a regulated lab environment.

The Senior QA Engineer is responsible for manual and automated testing of embedded systems, iOS/Android apps, and API servers, ensuring quality releases weekly.

The Senior Marketing Manager will drive dealer recruitment, enhance account activations, and collaborate with product teams to create effective sales enablement tools while managing strategic communication efforts.

The Senior Manager, Quality Control oversees QC strategy execution, ensuring timely delivery of testing activities and regulatory compliance across programs and testing partners.

Build and maintain large-scale backend systems and AI inference pipelines to transform user feedback into product insights. Develop backend APIs, own end-to-end features, improve observability and testing, and integrate AI workflows while collaborating with product and engineering teams in a hybrid San Francisco role.