Level

G42

Principal Sales Engineer

G42 is hiring a Principal Sales Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Level.

AI in this role

Lead technical pre-sales and solution architecture for large-scale GPU and AI infrastructure deployments.

gpus
ai-agentspre-salescloud-infrastructureai-infrastructuresolution-architecture

G42 Americas is a global artificial intelligence and technology group with its origins in Abu Dhabi, rapidly growing its presence in the US, Europe and other global markets. We are building a vertically integrated AI powerhouse with an ambition and a proposition on par with the world's leading hyperscalers, spanning AI data centers, hyperscale AI cloud infrastructure and frontier AI applications.

At the core of that ambition is a simple idea: G42 is building the world's AI token factory and AI agent factory, the industrial-scale infrastructure that produces intelligence, and the platforms that turn that intelligence into agents and applications reshaping how governments, enterprises and society work.

Overview:

The Principal Sales Engineer will lead the technical pre-sales motion for hyperscalers and major cloud and silicon ecosystem customers.

You will shape technically complex, high-value opportunities involving capacity, AI infrastructure, performance, networking, storage and platform integration.

This is a senior individual contributor role and not a people-management position.

G42 Americas is headquartered in Bellevue, Washington. We are in the formative stage of building the company, its operating rhythms and culture, and we value meaningful time together in person. The role will require comfort operating across the US and other global markets as G42 Americas scales its AI infrastructure platform and commercial presence.

We are open to candidates located anywhere across the West Coast.

Responsibilities:

Technical Discovery and Qualification

  • Partner with account leaders to qualify and shape strategic hyperscaler and cloud infrastructure opportunities.
  • Lead technical discovery with cloud architecture, infrastructure, platform engineering, silicon, networking and data-center stakeholders.

Architecture and Solution Design

  • Develop solution architectures and technical-commercial narratives for large-scale GPU and AI infrastructure deployments.
  • Translate requirements covering performance, reliability, tenancy, networking, storage, orchestration, security and operations into differentiated solutions.

Validation and Pursuit Support

  • Coordinate benchmarks, validations, workshops, proofs of concept, RFP/RFI responses and executive technical presentations.
  • Support technical risk assessment and implementation readiness.

Field Enablement

  • Provide field feedback and develop reusable reference architectures, playbooks and competitive guidance.
  • Coordinate engineering, product, delivery, finance, legal and sales contributors.

Qualifications:

Required

  • 8-12 years in solution architecture, pre-sales engineering, cloud infrastructure, HPC or AI platforms.
  • Experience supporting hyperscaler, cloud, semiconductor or large-scale infrastructure pursuits.
  • Hands-on understanding of GPUs, networking, storage, orchestration, performance and infrastructure economics.
  • Candidates must have demonstrated experience in AI infrastructure, including GPUs, accelerated computing, and related ecosystems.
  • Ability to influence senior technical and commercial stakeholders.
  • Bachelor's degree in engineering, computer science or equivalent experience.

Preferred

  • Experience at a hyperscaler, NeoCloud, semiconductor company, OEM or AI infrastructure provider.
  • Knowledge of capacity commitments, joint roadmaps and multi-year infrastructure agreements.

What Sets You Apart

  • You bring deep technical credibility in high-performance computing, GPU infrastructure and large-scale distributed systems.
  • You simplify complex architecture and performance questions without losing technical rigor.
  • You connect technical design choices with commercial and operational outcomes.

G42 Americas is a company for builders. We are scaling at extraordinary speed, and we run the business the way founders do: hands-on, close to the work, biased to action and personally accountable for outcomes.

  • Hands-on leadership. Our leaders go deep. They build, ship and own outcomes; they do not simply oversee.
  • Founder mode. High ownership, high velocity, direct communication, and minimal bureaucracy.
  • Room to shape. The blank canvas and pace of a startup, built on the foundation of an established global business with capital, customers, infrastructure, and world-class partners already in place.
  • Build something great. We are assembling a few exceptional people to build a generational company, and we expect everyone who joins to leave a personal mark on what gets built.

We are building for long-term impact, and our rewards philosophy is designed to attract leaders who can help shape that future. 

The compensation structure consists of base salary with bonus, LTIP and benefits on top. Salary ranges are set according to the role, level, and location. 

G42 Americas is committed to building a diverse and inclusive workplace. As an equal opportunity employer, G42 Americas does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age or any other legally protected status. In compliance with the Americans with Disabilities Act (ADA), we provide reasonable accommodations to qualified individuals with disabilities throughout the application and employment process.

G42 Americas: Building the infrastructure and platforms behind the intelligence era.

How we rate this

Principal Sales Engineer at G42 rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI agentsPre SalesCloud InfrastructureAI InfrastructureSolution ArchitectureGpus

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where pre sales was part of your work. What did you do?
  3. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  4. Tell me about a project where ai infrastructure was part of your work. What did you do?
  5. Tell me about a project where solution architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Pre Sales, Cloud Infrastructure, AI Infrastructure, and Solution Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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