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FluidstackFluidstackNew York, NY

Decision Engineering Team Lead, Manufacturing & Supply Chain

Lead a small team of AI software engineers building and shipping LLM-powered tools and agents that augment manufacturing and supply chain workflows. Hands-on coding required alongside technical direction, team growth, and roadmap ownership.

269k – 335k/yr
On-site7+ YOEEngineering Management

About the role

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

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

Benefits

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

Skills

GoPythonTypeScriptReactNext.jsLLM APIsmcp serversagentic frameworksClaude CodeCursor

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