Pre Sales Engineer - AI & Cloud Infrastructure

Company Description: NEXUS AIDC is a San Francisco-based AI infrastructure company building the intelligent operating layer for next-generation AI data centers. We are part of the NVIDIA Inception Program, Intel Partner Alliance, and AWS for Startups, positioning NEXUS within a global ecosystem advancing AI compute and data center infrastructure. Our platform brings together infrastructure observability, AI workload performance, DCIM, FinOps and intelligent operations to help enterprises and data center operators manage increasingly complex AI infrastructure at scale.

We are looking for an ambitious, technically sharp Pre-Sales Engineer (Solutions Engineer / Sales Engineer) with 2 to 3 years of experience to support our growing enterprise sales efforts across the Middle East and Asia-Pacific (APAC).In this role, you will work alongside our commercial and technical teams to deliver compelling product demos, support technical evaluations (PoCs), and answer technical questionnaires for enterprise prospects. If you have a solid foundation in cloud infrastructure or Kubernetes, enjoy working with customers, and want to learn how modern AI clusters and cloud economics work at scale, this is an exceptional opportunity to accelerate your career.

What you will do

• Prepare and deliver clear, hands-on product walkthroughs showing prospective customers how our platform tracks multi-cloud costs, monitors container spend, and identifies idle infrastructure waste.
• Assist customers during Proof-of-Concept stages by helping configure integrations, connecting telemetry feeds (Prometheus, OpenTelemetry), and validating that data is flowing correctly.
• Complete technical RFP/RFI responses, security questionnaires, and architecture checklists, coordinating with senior engineering colleagues when deep architectural escalations are needed.
• Shadow discovery conversations with client platform engineers and DevOps leads across the Middle East and APAC to understand their current cloud setup, pain points, and monitoring tools.
• Use APIs and basic scripting to customize demo environments, simulate cost scenarios, and showcase specific customer use cases.
• Proactively use AI assistants and modern productivity tools to draft proposal sections, format data, and speed up turnaround times on customer queries.

Required Qualifications:

• 2–3 years of hands-on experience in technical pre-sales, technical support, cloud engineering, or customer-facing solutions engineering.
• Solid practical knowledge of at least one major cloud provider (AWS, Azure, GCP, or OCI) and core concepts around compute, storage, and networking.
• Practical understanding of Docker and Kubernetes concepts (pods, namespaces, resource requests/limits).
• Familiarity with modern monitoring and metrics tools (such as Prometheus, Grafana, Datadog, or OpenTelemetry).
• Strong verbal and written communication skills with the confidence to run technical presentations and demos for prospective buyers.
• Based in or comfortable supporting accounts across the Middle East (GCC) and APAC time zones.
• A clear drive to master emerging areas like GPU workload economics, modern AI infrastructure, and FinOps.

Preferred Qualifications

• Basic familiarity with cloud billing concepts (AWS Cost Explorer, Azure Cost Management, or basic FinOps principles).
• Exposure to basic scripting inPython, Bash, or SQL to query data or test REST APIs.
• Familiarity with on-premises data centers, private cloud setups, or power metrics (PUE).
• Exposure to enterprise customers in the GCC or Asia-Pacific region.

Why Now

NEXUS is expanding globally. We are actively scaling our footprint across our core international theatres, with APAC and the Middle East representing our most dynamic, rapidly accelerating frontier for AI infrastructure adoption. We are hiring exceptional engineering, operational, and customer-facing technical talent to drive our organization forward. If you are an autonomous, high-conviction professional who wants your next decade of work to sit at the intersection of AI, infrastructure, and enterprise software at the precise moment the market is being decided — we want to talk to you.

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