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

Customer-facing technical engineer supporting sales and onboarding for Runpod's AI cloud. Troubleshoot escalated issues, build POCs, collaborate with engineering and product, create documentation, and train customers to ensure smooth deployment and operation of AI workloads.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead and scale core cloud and bare-metal infrastructure including SRE, global and HPC networking, and distributed storage. Define SLOs/SLAs, incident response, observability, and IaC. Architect InfiniBand/RoCE networks and high-performance storage to support large GPU workloads. Hire and mentor managers and senior ICs, partner with product and program teams to forecast capacity and drive reliability, throughput, and low-latency infrastructure at scale.

Build and maintain frontend and backend components for an AI infrastructure platform using Python and TypeScript. Contribute to SDK development, collaborate with engineering and AI teams, write tests and maintain code quality, participate in code reviews, and support developer-focused tooling and integrations.

Own end-to-end product design for Runpod's AI infrastructure platform, turning complex workflows (compute, deployment, storage, networking, billing, observability, model ops) into intuitive, polished experiences. Rapidly identify UX problems, prototype high-fidelity designs, define design systems, partner with Engineering and Product, and use user research and analytics to iterate and raise product craft and developer trust.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Provide advanced L2 technical support for Runpod customers: troubleshoot escalated issues, analyze logs and code, use scripting and diagnostics, liaise with engineering and infra teams, create documentation and training, and deliver multi-channel support including weekend availability.

Own the technical lifecycle and operational health of a global high-density GPU fleet. Validate hardware, benchmark performance, monitor uptime and SLAs, automate operations using LLMs/agents, perform deep network and system-level troubleshooting, coordinate incident communications, and support infrastructure partners.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.