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Lead new logo acquisition across the US and UK, targeting large enterprise, HPC, and AI model/application builders. Own identification, pursuit, and negotiation of complex multi-year GPU cluster deals, maintain executive-level relationships, and align commercial contracts with Legal, Finance, and delivery teams.

The Talent Acquisition Specialist will manage the full cycle recruitment for GTM roles, build talent pipelines, and collaborate with leaders to align hiring with commercial goals.

Lead and manage a team of software engineers focusing on delivering high-quality software for Hyperstack platform. Collaborate with cross-functional teams to guide technical direction and maintain engineering quality while supporting team growth and process improvements.

The Events Marketing Manager will oversee the strategy, planning, execution, and reporting of events to generate pipeline and enhance customer relationships. This role involves managing end-to-end event processes, community building, lead generation, and collaborating with sales teams to optimize event performance and budget.

Provide first-line support for North American customers using the Hyperstack cloud platform, diagnosing and resolving infrastructure issues, managing ticket queues, and maintaining documentation.

The Presales Engineer supports sales by designing technical solutions for GPU cloud needs, conducting demos, and enabling sales teams with technical insights.

The Financial Planning Analyst supports budgeting, forecasting, and long-range planning, analyzes performance, prepares reports, and partners with various teams and stakeholders in a growing company.

The role involves owning and improving the design, deployment, and operation of OpenStack and Kubernetes environments, ensuring performance, scalability, and security of GPU workloads, while collaborating cross-functionally and driving automation using infrastructure-as-code practices.

Lead the design, operation, and evolution of OpenStack and Kubernetes for GPU workloads, managing a team of engineers and ensuring platform reliability.

Own and design backend systems, APIs, and user-facing features for an AI platform. Build, ship, and operate scalable model training, evaluation, and deployment workflows; improve reliability, performance, observability, and documentation; mentor engineers and drive architectural and quality improvements.