Jobs at Andromeda (andromeda.ai)

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Owns Andromeda’s marketing function as its founding marketing hire. Responsibilities include defining company narrative and positioning, translating GPU compute products for technical and executive audiences, leading go-to-market launches, creating sales enablement, conducting competitive and win-loss analysis, developing customer proof, and establishing customer feedback loops. The role requires strong AI infrastructure expertise, technical credibility, exceptional writing, and hands-on execution.

Lead and build the revenue operations function: own HubSpot CRM, pipeline hygiene, forecasting dashboards, deal desk and RACI, comp and capacity planning, cross-functional processes between sales, supply, legal, and finance, and introduce AI-driven efficiencies to automate reporting and ops.

Troubleshoot customer issues across Linux, Kubernetes, GPU clusters, networking, storage, and system services. Participate in 24/7 incident response, communicate with customers, coordinate provider resolution, and create runbooks, monitoring, dashboards, alerts, and automation using Python or Bash. The role also investigates recurring infrastructure failures and improves reliability before incidents affect customers.

Troubleshoot customer AI infrastructure issues across Linux and Kubernetes, diagnose GPU and cluster failures, participate in 24/7 incident response, coordinate provider resolutions, and communicate clearly with customers. Build Python or Bash automation, monitoring, dashboards, alerts, runbooks, and documentation to prevent recurring problems. Experience with NVIDIA GPUs, HPC networking, schedulers, observability tools, and infrastructure-as-code is advantageous but not required.

Own technical engagements end-to-end for large customers: lead technical discovery and POCs, design GPU/HPC cluster and workload architectures, provision and validate production training runs, optimize performance and cost, and build SA assets (runbooks, benchmarks, reference architectures). Act as named technical owner to grow accounts and feed product/engineering with customer feedback.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

The Head of Partnerships will manage the full partnership lifecycle, develop strategies and agreements with partners, and drive cross-functional coordination to enhance Andromeda's offerings.

Own provider relationships and execution: onboard providers/sites, manage capacity rollouts, remediate hardware/network issues, act as incident commander for provider-side incidents, maintain program plans and milestones, enforce provider commitments, coordinate internal teams, and create playbooks and standards to scale provider onboarding.

Lead financial strategy and modeling for Andromeda's global GPU compute portfolio, managing lender relationships and capital allocation decisions.

Source and secure global GPU capacity across clouds, data centers, and vendors. Evaluate technical readiness, negotiate commercial terms, travel for site assessments, track market pricing, and build a compute sourcing thesis to direct large-scale spend.