Technical Trainer, Digital Infrastructure Group, Summer 2026

Crusoe • San Francisco, CA

23h

About The Position

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About the role:
Crusoe is at the intersection of technology and infrastructure. As our Summer AI ntern, you won’t just be "learning" about AI—you’ll be building it. You will sit within our Real Estate vertical, identifying and solving complex inefficiency bottlenecks through agentic workflows.
Your primary mission? Ship a production-ready MVP Chief-of-Staff AI agent. You will move from process mapping to prototype to executive demo, ensuring that the CTO office scales as fast as our infrastructure.
What You’ll Build
Develop an agent capable of meeting prep, decision memos, action-item capture, and stakeholder Q&A.
Design workflows involving tool use, multi-agent coordination, and long-term memory.
Map business processes (BPMN) to identify automation candidates and quantify business value (hours saved, error-rate deltas).
Handle the end-to-end lifecycle: data prep (SQL), logic (Python/Dataiku), and lightweight UIs.
Instrument success with KPIs (latency, precision/recall, cost) and provide a final run-book for IT supportability.
Who You Are
We are looking for a unique blend of technical fluency and business grit. You are someone who can write code in the morning and present a 1-page strategy memo to an executive in the afternoon.

Requirements

• BS, MBA, or MS program in Computer Science, Data Analytics, Industrial Engineering, or a related quantitative field graduating between Fall 2026-Spring 2027.
• Technical Fluency: Ability to read/write code and discuss data architecture comfortably.
• Data Stack: Hands-on with Python and SQL; experience calling REST APIs and parsing JSON.
• AI Knowledge: Working understanding of LLMs, prompt design, and agentic patterns (RAG, function calling, planning).
• Analytics: Ability to build basic dashboards (Tableau/Sigma) and compute product metrics.
• Bias to Action: You prefer a "fast experiment" over a long meeting.
• High Agency: You can take ambiguity, build a backlog, and manage your own project plan.
• Executive Presence: You write concisely and present with confidence.

Responsibilities

• Develop an agent capable of meeting prep, decision memos, action-item capture, and stakeholder Q&A.
• Design workflows involving tool use, multi-agent coordination, and long-term memory.
• Map business processes (BPMN) to identify automation candidates and quantify business value (hours saved, error-rate deltas).
• Handle the end-to-end lifecycle: data prep (SQL), logic (Python/Dataiku), and lightweight UIs.
• Instrument success with KPIs (latency, precision/recall, cost) and provide a final run-book for IT supportability.

Benefits

• Compensation will be anywhere between $1,690/per week and a one-time housing stipend
• Access to HealthiestYou and Calm
• Paid Holiday and Volunteer Days
• Commuter Allowance
• MetLife Legal
• Company paid commuter benefit; $300 per month

What This Job Offers

• Job Type: Full-time
• Career Level: Intern