Technical Account Manager (TAM) at FluidStack
Remote, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

02 Jul, 25

Salary

0.0

Posted On

02 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Information Technology, Computer Science, Aws, Enterprise Support, Infrastructure, Service Delivery, Code, Google Cloud, Virtual Machines, Support Systems, Scripting, Kubernetes, Docker, Azure, Interpersonal Skills

Industry

Information Technology/IT

Description

ABOUT FLUIDSTACK

Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Our team is small, highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals.
We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us.
You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset.

OVERVIEW:

We are seeking a skilled Technical Account Manager (TAM) to serve as a trusted advisor and strategic partner to our diverse customer base. In this role, you will be responsible for building and maintaining strong, long-lasting customer relationships, managing support requests, designing proactive triage systems, and ensuring seamless communication between our company and our clients. You will work closely with cross-functional teams to deliver exceptional technical guidance, optimize customer experiences, and drive successful outcomes. If you are passionate about Artificial Intelligence, cloud infrastructure and customer success, this is an opportunity to make a significant impact.

QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • 3+ years of experience in a customer-facing technical role, such as Technical Account Manager, Solutions Architect, or Cloud Support Engineer.
  • Strong understanding of cloud architecture, DevOps practices, and tools such as Docker, Kubernetes, SLURM, CI/CD pipelines, or Infrastructure as Code (e.g., Terraform, CloudFormation).
  • Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Experience with project management, cloud migration, or enterprise support is a plus.
  • Demonstrated ability to manage complex support requests, anticipate customer needs, and develop innovative support systems to enhance service delivery. Must be able to manage multiple priorities in a fast-paced environment while maintaining a customer-first mindset.
  • Comfortable working extended hours in an on-call format when required (Europe/U.S. time zones) .

EXCEPTIONAL CANDIDATES HAVE ONE OR MORE OF THE FOLLOWING EXPERIENCES:

  • Startup Experience: Worked at an early-stage company (pre-Series A or Series A)
  • System Design Expertise: Designed and implemented end-to-end systems (e.g., software, support, infrastructure, workflows) from the ground up, with demonstrable impact on business or technical outcomes.
  • Role Scaling Experience: Successfully expanded the scope of your responsibilities in a previous position, growing your impact through increased ownership, team collaboration, or system expansion (e.g., scaled a prototype to production, grew a process to serve 10x users).
  • Problem-Solving Mindset: Strong ability to break down complex challenges, devise practical solutions, and iterate quickly based on feedback or data.
  • Hands-on experience with cloud platforms, including AWS (e.g., EC2, Sagemaker, Bedrock, S3, Lambda), Google Cloud (e.g., Compute Engine, Vertex, GKE, BigQuery), Azure (e.g., Virtual Machines, Azure OpenAI) etc.
  • Proficiency in scripting or programming (e.g., Python, Java, or PowerShell)
Responsibilities

Please refer the Job description for details

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