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

Operate and improve Kubernetes-based production systems, manage cluster lifecycle and networking, build CI/CD and GitOps pipelines, define SLOs and incident response, automate resolution with AI, implement monitoring/alerting, and drive reliability through automation and chaos engineering.

Build, provision, and automate high-performance bare-metal and virtual compute environments with GPU passthrough and dedicated Kubernetes clusters. Design overlay networking and routing, maintain Linux images, implement monitoring, and automate lifecycle, leveraging AI for provisioning, alerting, and recovery.

Manage a portfolio of enterprise accounts focused on generative media, driving growth and collaboration with engineering and product teams to ensure customer success.

As an Inbound Sales Development Representative at Fal.ai, you'll qualify leads, understand customer needs, and collaborate with Account Executives to drive revenue growth.

Build and maintain Python-based fleet management and server tooling for thousands of GPU servers, automate provisioning, health monitoring, diagnostics, and recovery, create metrics/dashboards, enforce OS security, manage storage, tune Linux for AI workloads, and drive resolutions with partners.

The Technical Accounting and Reporting Manager will oversee technical accounting, financial reporting, and revenue recognition, and lead audits while collaborating across departments in a fast-growing AI startup.

The Full Stack Engineer will develop the core Serverless product, focusing on frontend and backend features, API implementation, and system scalability.

The Senior Product Designer will own end-to-end product design for web and mobile experiences, develop design systems, prototype quickly, and collaborate with cross-functional teams while conducting user research.

Manage partner relationships and lead model launch programs with partner companies. Coordinate infrastructure design, co-selling, marketing, and cross-functional teams to drive consumption-based revenue, partner satisfaction, and scalable model deployments.

As a Forward Deployed Engineer, you will engage with enterprise customers, addressing their AI workload needs by deploying and scaling solutions while ensuring successful onboarding and integration into the fal platform.