Decision Engineer, Business Operations

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do.

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators.

Come be a part of building civilization-scale infrastructure for AI.

We hire people who care deeply about this problem space. If that is you, please apply!

We are hiring AI Software Engineers to serve as an internal force multiplier, building tools that make every team member significantly more productive. In this role, you will develop and deploy AI-powered applications and establish shared infrastructure that enables teams to leverage AI effectively. You'll work directly with engineering, product, operations, and business teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains.

This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.

- Build internal tools and applications leveraging frontier models to automate workflows, accelerate decision-making, and reduce manual toil across all functions

- Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md , and build shared skills for the organization

- Integrate AI capabilities into existing products and internal tools, identifying where augmentation delivers measurable impact

- Build custom integrations between LLMs and internal systems (GitHub, Slack, Notion, JIRA, Salesforce, internal APIs)

- Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques to organizational challenges

- Create documentation and provide support to enable teams to adopt and extend the tools you build

- 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (but also the ability to work in an arbitrary language, primarily using AI coding tools to drive)

- Strong full-stack development skills with experience building web applications (React, Next.js, or similar frameworks)

- Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks

- Deep understanding of AI coding agent tools including Claude Code, Cursor, Antigravity, etc., and agent frameworks around them

- Proven ability to work autonomously (and get their agents to work autonomously for them): identifying problems, designing solutions, and shipping results with minimal direction and high impact

- Great product and design taste: as the barrier to building gets lower, taste matters more

- Strong systems thinking and product intuition to balance rapid iteration with building maintainable, scalable foundations that others can build off

- Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption