Product Manager (Atlas)

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.

Focus Areas

Build and execute on a long term roadmap that creates the best in-house AI cloud platform, as well as one that can serve as a white label "AI cloud in a box".

Grow our platform both internally and externally, working with compute OEMs, supply partners, our FDE team, and our customers.

Create a two-sided marketplace, balancing customer demand and compute supply, optimizing for time to capacity as well as strong unit economics.

Build the app marketplace with integrated ML frameworks, deployment templates, and one-click solutions that accelerate customer time-to-value.

What You'll Do

Define and own the Atlas product roadmap, balancing near-term customer needs with long-term platform evolution

Drive product strategy for both the demand side (AI developers / enterprises) and supply side (compute partners)

Establish key metrics and KPIs for platform health, marketplace efficiency, and customer satisfaction

Conduct competitive analysis and market research to identify opportunities and threats

Partner with engineering to translate customer problems into elegant technical solutions

Write detailed product specs, user stories, and acceptance criteria for complex distributed systems features

Lead sprint planning, backlog grooming, and release planning with engineering teams

Make trade-off decisions on features, technical debt, and operational improvements

Engage directly with customers to understand their AI infrastructure needs, pain points, and workflows

Work with compute partners to onboard their infrastructure, understand their constraints, and build features that increase their success

Collaborate with FDEs to understand deployment patterns, reliability issues, and operational challenges

Synthesize feedback from Sales, Customer Success, and Support teams into actionable product improvements

Partner with Marketing and Sales to position Atlas features and communicate value propositions

Create technical content, documentation, and enablement materials for internal and external audiences

Support sales cycles for strategic customers and partners, including demos, technical deep-dives, and custom solution design

Define pricing and packaging strategies for marketplace offerings

Act as the glue between engineering, operations, sales, and executive teams

Run executive business reviews with clear data on product performance and strategic recommendations

Build consensus across stakeholders with different priorities and perspectives

Mentor junior PMs and contribute to building product culture

About You

710+ years of experience in product and / or engineering roles, building large scale developer tools and / or cloud platforms

Strong product intuition and taste in developer experience and tooling, including API and CLI design

End-to-end understanding of bare metal infrastructure, Kubernetes, and cloud platforms

Proven track record of delivering integrated hardware-software platforms at scale

Strong understanding of AI / ML workloads and infrastructure, including GPU acceleration, model training and inference pipelines, and modern datacenter architecture

Experience building and operating a cloud marketplace

Background or strong interest in economics and marketplace dynamics

Excellent communication and cross-functional leadership skills, with the ability to collaborate effectively across engineering, sales, and executive stakeholders

Previous experience at a cloud provider (AWS, GCP, Azure) or infrastructure startup

Hands-on engineering background with production Kubernetes deployments

Experience with SLURM, Ray, Volcano or other distributed computing frameworks

Deep knowledge of GPU architectures (NVIDIA Blackwell / Hopper, AMD Instinct) and networking (InfiniBand, RoCE)

Experience with infrastructure-as-code tools (Terraform, Ansible, Pulumi)

Prior work in two-sided marketplaces or platform businesses

Track record of 0-to-1 product development in infrastructure or developer tools

Benefits

Competitive total compensation package (salary + equity).

Retirement or pension plan, in line with local norms.

Health, dental, and vision insurance.

Generous PTO policy, in line with local norms.