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

Own and grow strategic partner relationships (NVIDIA, hyperscalers, tech partners). Drive co-sell motions, joint pipeline, and partner-influenced revenue. Build executive relationships, develop joint business plans, enable partner sales teams, and create solution plays. Coordinate with sales, solutions engineering, and product teams. Track partner pipeline and maintain records in Salesforce. Field-based role with travel and territory-level partner plans.

Lead operational readiness reviews for large-scale data center projects, identify design/construction/commissioning gaps, drive corrective actions, validate turnover readiness, coordinate across design, construction, commissioning, and operations to ensure mission-critical infrastructure meets standards and is handed off reliably.

Manage full lifecycle delivery of multiple large-scale data center deployments: plan, coordinate vendors/contractors, oversee hardware/cabling/network installs, enforce quality/compliance, track schedules/budgets, mitigate risks, document progress, and transition sites to operations. Frequent onsite travel (up to 60%).

The Bare Metal Support Engineer provides support and maintenance for CoreWeave's GPU fleet, collaborating with customers and engineering teams, diagnosing issues, and improving hardware and software performance.

The Site Selection Manager identifies and evaluates data center opportunities, leads due diligence, supports lease negotiations, and manages cross-functional coordination for CoreWeave's expansion across the Americas.

As a Staff Product Manager, you will own the strategy and roadmap for networking products, translating market insights into product requirements and working with cross-functional teams to launch new offerings.

Design and deliver scalable, conversion-focused website experiences and design systems. Partner with developers, marketers, and stakeholders to support large-scale redesigns, migrations, high-fidelity prototypes, animations, and developer handoffs, leveraging AI-assisted workflows to improve efficiency and quality.

Build, maintain, and optimize scalable front-end systems and web experiences. Translate Figma designs into reusable components, support large-scale site migrations, improve performance, accessibility, and SEO, and work with cross-functional teams using modern workflows and AI-assisted tools.

Develop and run rigorous benchmarks and profiles for LLM inference workloads to identify bottlenecks and drive targeted performance optimizations across frameworks, runtimes, and GPU hardware. Design experiments (quantization, caching, speculative decoding), validate changes against real traces, partner with platform engineers to productionize improvements, and produce clear technical writeups to guide model-serving, runtime, and hardware decisions.

Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.