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

Leads technical due diligence for prospective data center sites, evaluating electrical, mechanical, civil, structural, architectural, utility, zoning, and infrastructure feasibility. Reviews provider proposals, capacity data, conceptual layouts, and building documentation; identifies risks, upgrades, cost and schedule impacts; prepares go/no-go recommendations and technical assessments. Coordinates with utilities, landlords, developers, internal subject matter experts, and design teams, then hands secured sites to Design Managers. Frequent travel is required.

Own the strategy, roadmap, and execution for W&B Launch, infrastructure insights, and infrastructure-native developer tools integrating W&B with CoreWeave. Partner with frontier AI teams, platform engineering, and W&B engineering to improve job submission, compute orchestration, observability, and automated research workflows. Drive product concepts from discovery through launch, translate infrastructure needs into developer experiences, and measure and iterate on product impact.

Plans, procures, and manages backbone network capacity, including wavelength and dark fiber services. Reviews vendor solutions, forecasts network demand, optimizes circuit utilization, ensures redundancy and diversity, manages telecommunications vendors, maintains technical documentation, and supports network expansion. The role collaborates with engineering, operations, and product teams to resolve capacity issues and incorporate emerging technologies into global backbone planning.

Design and review data center white space infrastructure for high-density computing environments. Coordinate electrical, mechanical, cooling, low-voltage, cabling, and network pathway systems; review drawings, submittals, RFIs, and field conditions; oversee consultants; resolve design and constructability issues; and support construction, commissioning, and deployment. Contribute to design standards, scalability, technical documentation, and mentorship across CoreWeave’s data center portfolio.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.

Leads market research and intelligence for CoreWeave’s B2B AI cloud business. Responsibilities include sizing TAM and SAM, tracking competitive share, conducting brand and audience research, identifying influential buyer personas, developing market and account signals, and delivering dashboards and insights to marketing and sales. The role partners with Brand, Product Marketing, and Engineering to improve targeting, competitive positioning, go-to-market strategy, and adoption of market intelligence across campaign teams.

Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.

Serve as a customer-facing technical advisor for CoreWeave’s SaaS platform. Lead architecture reviews, workshops, feature adoption sessions, and integration troubleshooting. Build reusable reference architectures, sample code, demos, templates, and internal tools while enabling sales and field teams. Help customers integrate APIs, data flows, identity systems, and third-party platforms. Contribute examples, documentation, integrations, and occasional bug fixes through engineering processes. Collaborate with Sales, Support, Product, and Engineering across multiple customer engagements.