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

Architect and automate an AI-native GTM tech stack, centralize and maintain CRM/data warehouse integrity, lead Salesforce CPQ design and integrations, implement governance, and replace manual GTM tasks with intelligent automation to drive revenue outcomes.

Develop and maintain a global AI cloud infrastructure, focusing on high-performance backend services, IaaS software, and robust observability solutions.

Design and operate multi-petabyte, high-performance storage for large-scale AI/HPC clusters. Architect parallel filesystems and object stores, build Kubernetes-native storage operators, optimize RDMA/InfiniBand and NVMe-based data paths for 10–50 GB/s per node, implement multi-tier caching and prefetching, ensure observability and 99.9%+ uptime, and collaborate with ML/SRE teams while driving cost and performance improvements.

Design and build production systems for AI inference, optimize runtime services, and collaborate on AI solutions with researchers and engineers.

As a Senior Backend Engineer, you will develop foundational backend services, enhance existing systems, and ensure scalability and robustness in a generative AI cloud platform.

The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

The Senior Backend Engineer will optimize and build systems for the Inference Platform, focusing on low-latency, scalability, and performance for generative AI models. Responsibilities include enhancing request routing, developing auto-scaling systems, and collaborating with ML researchers to implement new model architectures in production.

Own international cloud compute sourcing, supplier relationships, contracts, renewals, and RFPs. Build global GPU cloud pricing intelligence, negotiate commercial terms, manage vendor performance, and reduce total cost of ownership. Partner with infrastructure engineering, finance, and GTM to secure international capacity while addressing supply, regulatory, data residency, currency, tax, and infrastructure risks.

Own cost forecasting and budget-versus-actual for data center build-outs, maintain dollars-per-GPU-hour unit costs, evaluate site economics and TCO, translate hardware timelines into cash forecasts, and build dashboards to report committed capital, spend-to-date, and forecast-to-complete.

The Senior Technical Recruiter will lead the recruitment of AI researchers and engineers, working with leadership to define hiring strategies, enhance candidate experiences, and improve recruiting processes.