Decision Engineering Team Lead, Manufacturing & Supply Chain

Fluidstack • Austin, TX

1d • $269,000 - $335,000

About The Position

We are hiring a Decision Engineering Team Lead for the Manufacturing & Supply Chain team. You'll lead a small team of Decision Engineers (AI Software Engineers) building AI-powered tools and decision systems that make manufacturing and supply chain 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.

Requirements

• 7+ years of software engineering experience with 2+ years leading a team while still coding
• Track record shipping production systems in supply chain, manufacturing, logistics, or automation domains
• Production-grade code in Go, Python, and TypeScript, with strong full-stack 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
• Technical depth to review architecture and unblock engineers, not just manage
• Ownership mentality: you can define a roadmap and execute without heavy process support
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders

Nice To Haves

• experience at a fast-scaling automation, robotics, or supply chain software company

Responsibilities

• 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 manufacturing and supply chain workflows
• Own the team's delivery: identify the highest-impact AI augmentation opportunities across manufacturing and supply chain 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

Benefits

• Competitive total compensation package (cash + equity)
• Health, dental, and vision insurance
• Retirement plan
• Generous PTO policy

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed