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.

As an AI Researcher, you will develop novel architectures and optimizations in machine learning, collaborating with teams to enhance open models and ensuring cutting-edge research practices.

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.

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

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 Product Marketing Director will lead the PMM function, develop go-to-market strategies, manage product launch calendars, and ensure effective cross-functional collaboration to drive product adoption and user growth.

Translate RL and inference research into production systems to improve latency, throughput, cost, and model quality. Design and implement inference engines and scheduling, build RL/post‑training pipelines, profile and optimize GPU/network/memory performance, run scale experiments, and drive production roadmap and benchmarks. Provide technical leadership and mentor others.

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.