Product Engineer

Fluidstack•San Francsisco, CA

About The Position

We are hiring Product Engineers to work on Fluidstack’s AI-integrated software stack that enables us to build capacity faster than anyone in the industry. You will own features at every layer of the stack from concept to outcome, no handoffs, no ticket implementation. You will identify problems, design solutions, build, ship, and measure success. Fluidstack is flat. No middle management. Nothing in the way of shipping. Our engineers hold the highest levels of ownership in the industry. You won’t escalate, you’ll ship. You won’t ask for approval, you’ll just do things. You’ll be operating infrastructure worth billions of dollars on a timeline measured in months. You have one goal: build the infrastructure that reduces time to compute.

Requirements

5+ years of software engineering experience shipping production code in Go, Python, or TypeScript, and the ability to work in any language, primarily using AI coding tools to move fast.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and working with agentic frameworks.
Deep fluency with AI coding tools including Claude Code, Cursor, etc. and the ability to get agents to work autonomously alongside you.
Proven ability to work with high autonomy: identifying problems, designing solutions, and shipping results with minimal direction.
Strong systems thinking to balance rapid iteration with building foundations others can extend.
Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption.
Great product and design taste.

Responsibilities

Own features at every layer of the stack from concept to outcome.
Identify problems, design solutions, build, ship, and measure success.
Build supply chain automation: Interfaces where ordering 10,000 GPUs and all supporting components feels like opening a GitHub pull request.
Build capacity forecasting and scheduling: systems that model build timelines, predict bottlenecks, and drive schedules across dozens of concurrent projects.
Build internal AI infrastructure: shared agent frameworks, skill libraries, and integrations with the platforms the company runs on, including project management, source control, construction software, messaging, CRM, and internal APIs, so every team at Fluidstack can build with AI, not just engineers.
Build operational automation: workflow orchestration and self-service tooling that eliminates manual toil across operations and engineering.
Build datacenter design & validation: Applications that generate, simulate, and validate AI infrastructure layouts, power topologies, and cooling configurations.