The Head of Marketing will own the company's public narrative and translate complex GPU compute offerings for technical and executive buyers. They will lead go-to-market strategies, build sales enablement materials, and establish customer proof points to drive business growth.
You will own the revenue operations infrastructure, including CRM optimization, forecasting, and deal desk processes. You will act as a strategic partner to sales, finance, and legal to scale operations and improve cross-functional efficiency.
The Customer Reliability Engineer will triage and resolve technical issues for customers running AI workloads on GPU clusters. This role involves debugging Linux and Kubernetes environments, managing incident responses, and automating system checks to improve infrastructure reliability.
The Customer Reliability Engineer will triage, diagnose, and resolve technical issues for customers running AI workloads on GPU clusters. They are responsible for managing incidents, coordinating with external compute providers, and building automation tools to improve system reliability.
The Compute Procurement Lead is responsible for sourcing global GPU capacity and managing relationships with hyperscalers, data centers, and chip vendors. This role involves technical evaluation of infrastructure, commercial negotiation of multi-billion dollar spend, and conducting on-site assessments.
You will embed with customer teams to onboard, tune, and debug large-scale AI training and inference workloads on GPU clusters. You are also responsible for building automation and infrastructure to ensure the reliability and performance of these distributed systems.
You will own the backend systems responsible for capacity quoting, reservation, funding, and billing across the marketplace. Additionally, you will manage the full API surface and infrastructure operations, including metering and customer-facing dashboards.
You will build and operate the control plane for a large-scale GPU fleet, managing the automated lifecycle of clusters from bare metal to customer-ready. This includes maintaining Kubernetes and Postgres systems while scaling infrastructure to support thousands of nodes.
You will design and build high-performance systems across storage, networking, virtualization, and container runtimes. Additionally, you will participate in on-call rotations to respond to production incidents.
Own provider relationships and execution, managing onboarding, capacity rollouts, and hardware quality issues. Act as the incident commander for major provider-side failures, coordinating responses between SREs, providers, and customers.
You will lead financial planning, performance management, and deal execution for the company's global GPU compute portfolio. This includes building financial architecture, managing lender relationships, and overseeing capital allocation for infrastructure projects.
