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Era4

UK sovereign AI compute backbone builder

Technical Account Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeUnited KingdomNo salary listed

About the Job

Requirements

  • Prior experience in a customer-facing technical role such as Technical Account Manager, Solutions Engineer, Implementation Consultant, Customer Success Engineer, or Pre-sales Engineer.
  • Previous experience with bare-metal deployments, data centre operations, or high-density compute environments.
  • Linux systems administration and troubleshooting, including command-line interface usage, logs, and performance diagnostics.
  • Familiarity with GPU server hardware and workloads, drivers, high-density deployments, and the operational considerations of dense GPU racks, including cooling, PCIe, and power.
  • Knowledge of data centre networking fundamentals, including VLANs, routing basics, out-of-band management, and high-performance interconnects such as InfiniBand and RoCE.
  • Comfort working with service-level agreements, KPI frameworks, and ITIL-aligned incident processes.

Responsibilities

  • Serve as the single dedicated technical point of contact for customers, developing familiarity with workload patterns, performance and capacity needs, and operational requirements.
  • Own customer onboarding and technical account management, and develop Era4's Customer Onboarding and Engagement Model.
  • Run regular customer touchpoint calls and service reviews, presenting SLA performance, capacity utilisation, and incident trends against SLA commitments.
  • Act as a trusted customer partner and internal advocate, translating technical requirements and problems into internal actions and involving relevant business areas.
  • Translate workload requirements, including training and inference clusters, node counts, and interconnect needs, into deployment and provisioning plans with Operations and Engineering teams.
  • Validate cluster health, network fabric configuration, and GPU server readiness before go-live or expansion; ensure test and observability coverage meets internal and customer requirements.
  • Own and maintain account-specific architecture, technical documentation, and runbooks.
  • Act as the first-line escalation point for account incidents, coordinating with the 24x7 Operations Centre and Field Engineering; escalate priority-one incidents and SLA-credit-threshold risks through relevant workflows.
  • Contribute to root cause analysis and post-incident reviews, and help define and track corrective actions to completion as part of structured problem management.
  • Own account KPI reporting against contracted SLA metrics, including availability, SLA performance, incidents, and changes.
  • Contribute to the technology backlog and help define, prioritise, and track required features and recurring or systemic issues, feeding into product roadmap discussions.
  • Provide technical input to support commercial conversations.

Desired Qualifications

  • Exposure to Kubernetes or container orchestration in bare-metal or on-premises contexts.
  • Experience with Python or Bash scripting for diagnostics, automation, or reporting.
  • Familiarity with configuration management database or asset tooling and observability stacks.
  • ITIL Foundation, CCNA, or CKA certification.
  • Prior experience with AI or machine-learning infrastructure customers or GPU cloud providers.

About the Company

Era4

UK sovereign AI compute backbone builder

Era4 builds the UK's sovereign AI backbone by converting brownfield sites and industrial hubs into high-performance AI campuses that tie land, energy, and compute into a single controlled system. Its flagship The Mill in Newport reimagines a former steel mill as a sovereign UK AI gigafactory with up to a gigawatt of peak power; its Sovereign AI Mesh spans modular data centres and hyperscale sites with closed-loop liquid cooling and low-carbon microgrids. It differentiates itself with a national sovereign model that links physical assets to energy and compute and regenerates industrial heritage for modern AI through partnerships with HPE, VAST Data, WWT, and Civo. Its goal is to provide a trusted, domestically controlled AI backbone that enables British AI development and prosperity.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2025

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