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 hiring our first US-based Technical Account Manager (TAM) to serve as a trusted advisor and strategic partner to several of our largest and most strategic customers.
In this role, you will be the face of Fluidstack’s engineering and sales functions. You will be responsible for leading deployments, managing support and product requests, designing scalable triage systems, and ensuring seamless communication between our company and our clients.
With support from a team of Forward Deployed Engineers (FDEs) who act as technical contacts to resolve issues, the TAM will own service escalations and communications and work closely with FDEs to meet SLA promises, optimize customer experiences, and drive successful outcomes.
Our TAMs are available during customer working hours. At times, availability outside of these hours will be required for critical support.
If you are passionate about Artificial Intelligence, supercomputing infrastructure and customer success, this is an opportunity to make a significant impact.
Focus:
Act as the primary point of contact and advocate for our customers - obsessing over their needs and ensuring their success with our cloud platform.
Oversee and prioritize incoming support requests, collaborating with technical support and engineering teams to ensure timely resolution. Provide hands-on assistance to troubleshoot issues, escalating complex cases as needed while keeping customers informed throughout the process.
Partner with customers to plan and execute onboarding, data migration, expansions and ongoing operational improvements.
Conduct regular business reviews with customers to assess performance, identify opportunities for improvement, and align solutions with their evolving needs. Deliver clear, concise, and impactful communications to customers and internal stakeholders.
Translate complex technical concepts into actionable insights, ensuring alignment and understanding.
Stay ahead of industry trends and emerging technologies to proactively recommend innovative solutions to customers.
Represent the voice of the customer internally, providing feedback to improve products, services, and support processes.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
2+ years of experience in a customer-facing technical role, such as Technical Account Manager, Solutions Architect, Forward Deployed Engineer (FDE), 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.
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)
Pay Transparency Notice:
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.
Our cash compensation range for this role is $120,000-$185,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, relevant licenses/credentials, and other factors.
We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.
Top Skills
What We Do
Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.
