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

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.

Build and operate CoreWeave’s multi-cloud internal infrastructure across GCP, Azure, and AWS. Manage cloud foundations, IAM, networking, Terraform infrastructure as code, monitoring, logging, CI/CD, backups, disaster recovery, and production reliability. Troubleshoot complex infrastructure and application issues, support cloud migrations and acquisitions, implement secure architecture patterns, and contribute to incident response and root-cause analysis. Mentor junior engineers and communicate technical decisions across teams.

Own the W&B Models product roadmap for ML experiment tracking, training visualization, monitoring, evaluations, and large-scale analysis. Partner with researchers, engineering, design, and go-to-market teams to understand workflows, define product strategy, ship polished experiences, and improve performance using customer feedback and usage data. The role requires strong ML research fluency, technical product management experience, data visualization instincts, AI tool proficiency, and clear stakeholder communication.

Lead and coach a team of SDRs to drive outbound prospecting and manage inbound leads. Recruit, train, and ramp new reps, track performance metrics, collaborate with Sales and Marketing on pipeline strategies, and continuously refine SDR processes to scale outreach and career development.

Lead and grow strategic partnerships across the Physical AI stack (robotics, simulation, autonomous systems). Drive joint product integrations, co-innovation, go-to-market motions, co-sell opportunities, and partner-aligned roadmaps with NVIDIA and key platform/OEM partners. Influence Product and Engineering requirements, execute quarterly business plans, and represent CoreWeave at industry events to accelerate revenue and market adoption.

Lead category strategy, RFPs, negotiations, and supplier selection for data center infrastructure equipment and services. Manage supplier KPIs, risk mitigation, procurement delivery, and cross-functional coordination with engineering, construction, supply chain, and finance. Support construction schedules, logistics, Workday receiving, and continuous process improvement to meet rapid data center growth.

Leads commercial and technical strategy for CoreWeave’s AI infrastructure offerings, driving new customer wins involving GPU compute, high-speed networking, Kubernetes, and platform reliability. Translates customer requirements into compute and networking roadmap priorities, develops deal structures and technical playbooks, supports GPU reservation negotiations, and serves as an expert advisor on cluster architecture, network fabrics, performance, capacity, and distributed training.

As a Solutions Architect, engage with customers to architect cloud solutions, optimize workloads, and provide technical leadership while collaborating with engineering teams.

Manage strategic customer relationships, define technical requirements, oversee program execution, and facilitate collaboration across teams to ensure customer success in adopting CoreWeave's cloud services.