Job Specifications
Summary
We’re seeking an ambitious Enterprise Sales Executive with a strong technical understanding of cloud infrastructure, GPUs, and Kubernetes-native platforms to help grow Stack8s’ enterprise customer base across research institutes, healthcare, finance, and AI-driven industries.
You’ll lead strategic outreach, manage enterprise accounts, and work closely with engineering teams to translate complex cloud-native capabilities into compelling business value propositions.
Responsibilities
Drive end-to-end B2B sales cycles from prospecting to close across enterprise and research customers.
Develop and manage pipelines in HubSpot, ensuring precise tracking of leads, outreach, and renewals.
Identify opportunities across GPU compute, on-prem HPC, and hybrid/multi-cloud environments.
Work closely with the technical team to tailor PaaS and KaaS offerings to customer workloads (Kubeflow, ArgoCD, GPU Operator, etc.).
Lead presentations, demos, and RFP responses to CTOs, CIOs, and infrastructure heads.
Establish and nurture partnerships with cloud providers (Civo, DigitalOcean, Azure, Contabo, Hetzner, etc.).
Collaborate with marketing to design targeted outreach campaigns for sectors like AI research, FinTech, and healthcare.
Track customer success metrics and feedback to help inform product roadmap and feature prioritisation.
Requirements
3+ years of enterprise B2B sales experience in cloud infrastructure, HPC, or AI software solutions.
Strong technical understanding of cloud computing, GPUs, Kubernetes, storage, and networking.
Hands-on experience with HubSpot CRM and data-driven pipeline management.
Proven track record of closing mid to large enterprise deals (£50K–£1M+).
Excellent communication and stakeholder management skills — able to engage technical and executive audiences.
Kubernetes knowledge - high level
Familiarity with Cloud Compute and GPU Providers ****offerings preferred.
Ability to work cross-functionally with engineering and marketing teams in a high-growth startup environment.
Nice to Have
Experience selling into research institutes, universities, or healthcare AI segments.
Knowledge of GPU hardware vendors (NVIDIA, AMD) and AI compute marketplaces.
Understanding of data sovereignty, UK/EU HPC, or Middle East cloud ecosystems.
About the Company
We are tackling the problem of cloud platforms being expensive and difficult to manage, especially for startups leveraging AI/ML services, which can see costs rise dramatically. Many organizations don't have visibility into where their cloud spend is going, and inefficiencies lead to billions of dollars in wasted resources, with environmental impacts from idle compute. Vendor lock-in further complicates optimization, making it costly to migrate data and manage cloud expenses effectively. Our focus is on addressing these fina...
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