AI Computing Solutions Lead

• Experience as a Pre-Sales Engineer, Solutions Architect, Technical Product Specialist or similar position in IT infrastructure, HPC, or Artificial Intelligence.

• Previous experience in a manufacturer, wholesaler, integrator, technology consultancy, or a company specialized in IT solutions.

• Solid knowledge of hardware for AI: professional GPUs, multi-GPU systems, servers, storage, and networking.

• Ability to size a solution starting from a concrete need, considering variables such as GPU memory, performance, concurrency, scalability, and cost.

• Practical knowledge of the software ecosystem for Artificial Intelligence.

• Familiarity with technologies such as CUDA, vLLM, Ollama, TensorRT-LLM, or similar frameworks.

• Knowledge of containers and AI model deployment on local infrastructure.

• Ability to translate complex technological concepts into a language understandable to both technical and business profiles.

• Commercial and business orientation. We want someone capable of thinking not only about technology, but also about opportunities, margin, value proposition, and sales.

• Ability to work transversally with product, sales, marketing, and technology teams.

• Professional English proficiency.

⭐ We will especially love it if you also...

• Have in-depth knowledge of the NVIDIA ecosystem: DGX, RTX PRO, NIM, NVIDIA AI Enterprise, or other related solutions.

• Have technical certifications from manufacturers.

• Have worked directly with technology manufacturers or partner programs.

• Have participated in projects related to private AI, sovereign AI, RAG, agents, fine-tuning, or computer vision.

• Have designed or deployed infrastructure for AI models.

• Have experience training commercial or technical teams.

• Have participated in tenders or projects with universities, research centers, or administrations.

• Have worked on projects where you had to combine technical pre-sales and business development.

🚀 Help us build the future of AI Computing at PcComponentes

Artificial Intelligence is changing not only the software companies use, but also the technological infrastructure they need to run it.

More and more organizations want to deploy their own AI models, assistants, agents, or systems locally, privately, and securely, without depending exclusively on cloud services.

And this is creating a new generation of solutions: AI Workstations, professional GPUs, multi-GPU systems, inference and training servers, high-performance storage, networking, and complete platforms ready to run Artificial Intelligence workloads.

At PcComponentes, we want to become a benchmark in AI computing solutions.

And we want to bring on board the person who will help us build this new area from the ground up.

We are not looking solely for a technical specialist.

Nor a traditional Product Manager.

We are looking for someone capable of deeply understanding the technology, converting it into understandable solutions for our customers, and building a business opportunity around it.

You will be the internal reference for PcComponentes in AI Computing and Artificial Intelligence infrastructure.

Your mission will be to help us define:

What solutions we should commercialize.
For which customers and use cases.
How we should configure them.
And how we should bring them to market.

You will work especially with the manufacturer ecosystem such as NVIDIA, although you will have the freedom to analyze and develop solutions alongside other manufacturers and relevant technologies in the market.

We want to move from selling hardware for AI to offering something much more powerful:

ready-to-use Artificial Intelligence solutions.

We are looking for a person with experience working close to technological infrastructure, high-performance hardware, and Artificial Intelligence solutions.

You will help define which products and solutions PcComponentes should offer in this new category. For example, AI Workstations, professional GPUs, multi-GPU Systems, Inference Servers, Training Servers, compact AI Computing Systems, etc.

But we want to go beyond hardware.

These solutions could incorporate services that allow the customer to start using them practically from day one, such as Pre-installation and configuration of the software stack, Drivers, frameworks and models, Environment configuration and optimization, AI Agents, specialized technical support, Infrastructure expansion and renewal, etc.

The goal is simple:

That our customers do not just buy a machine, but a working AI solution.

And that PcComponentes can also accompany them after the sale.

Our customers will arrive with very different needs.

For example:

"I want to run a 70B parameter model locally."

"I need to deploy a private RAG system for 50 employees."

"We want to use AI agents without sending information to the cloud."

"We need a workstation for fine-tuning."

"We want to deploy computer vision in our company."

Your mission will be to transform those needs into a concrete technological architecture.

You will analyze aspects such as: Model and workload, Necessary memory, GPU, CPU and RAM, Storage, Networking, Number of users, Concurrency, Expected performance, Scalability, and Cost.

And you will help the customer find the most suitable solution.

You will work alongside our product teams to develop optimized solutions for different use cases.

For example, AI Workstation, AI Developer Workstation, Local LLM Server, AI Inference Server, AI Training Server, and Enterprise AI Server.

Solutions that can combine hardware + software + configuration + services.

We want that when a company asks itself what infrastructure it needs to run Artificial Intelligence, PcComponentes can give it a clear answer.

You will work closely with our B2B team to identify and develop opportunities in companies of any size and sector, or at any stage of their business maturity.

You will participate in commercial opportunities where technical pre-sales, infrastructure sizing, or specific solution design is required.

In some projects, you will have to understand the problem.

In others, design the architecture.

And in others, help demonstrate that our solution is the right one.

You will work directly with manufacturers and technology partners to learn about their roadmaps, identify new products and technologies, receive advanced technical training, design joint configurations, etc.

We want to be very close to the manufacturers that are building the next generation of infrastructure for AI.

We do not want knowledge about AI Computing to depend solely on one person.

We want you to multiply it.

An important part of your mission will be helping to train our teams, especially in: Product Management, B2B, Content, Demand Generation, and Marketing.

The goal will be to ensure our teams understand what technology we are offering, what problems it solves, and how to explain it correctly to our customers.

Technology can be complex.

Our responsibility will be to make it understandable.

You will work alongside our Content and Demand Generation teams to develop: Buying guides, Comparisons, Benchmarks, among others.

We want to turn technical knowledge into content capable of educating the market, generating demand, and creating business opportunities.

But above all, we are looking for a person with technological curiosity, business vision, and a desire to build.

This category is being born right now.

Many of the solutions we will sell in three years probably do not exist yet.

We want to bring on someone who finds that exciting.