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# Decision Engineering Team Lead, Business Operations

- **Company:** Fluidstack Inc
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cursor (Graphical User Interface Elements), Python (Programming Language), Next.js, Software Engineering, TypeScript, Web Applications, AI Infrastructure, Application Enhancement Tool, ReactJS, Large Language Models, Production Code, Golang
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/7e72c13a-5120-4b1b-8544-65d1096caf10

## About the Role

* 5+ years of software engineering experience including leading engineers or owning technical direction for a team
 * Production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools)
 * Strong full-stack development skills 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 and Cursor, and the agent frameworks around them
 * Proven ability to work autonomously and get a team (and their agents) to ship results with minimal direction and high impact
 * Great product and design taste, and the judgment to balance rapid iteration with maintainable foundations others build on
 * Excellent communication skills, able to translate technical concepts for non-technical stakeholders and drive adoption
 * Nice to have: exposure to business operations, finance, or strategy-and-operations workflows, or to leading teams building internal operational tooling

## Description

We are hiring a Decision Engineering Team Lead for the Business Operations team. You'll lead a small team of Decision Engineers (AI Software Engineers) building AI-powered tools and decision systems that make business operations workflows significantly more productive, while still shipping hands-on. You'll set technical direction, own the team's delivery bar, grow engineers, and partner with leadership to pick the highest-impact AI augmentation bets., * Lead a small team of Decision Engineers, setting technical direction and owning the bar for what ships

 * Still build hands-on: personally ship the highest-leverage AI tools and agents for business operations workflows
 * Own the team's delivery: identify the highest-impact AI augmentation opportunities across business operations workflows and turn them into shipped tools with measurable productivity gains
 * Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and shared skills the wider organization builds on
 * Grow the engineers on your team through review, direction, and hiring
 * Partner with team and functional leadership to translate their goals into an AI tooling roadmap


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