Decision Engineering Team Lead, Manufacturing & Supply Chain

1 мес. назад

269k–335k USD / yearUSALeadOnsite

aisoftware engineering

Lead a team building AI-powered tools and decision systems for manufacturing and supply chain workflows.

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

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

Competitive total compensation package (cash + equity)
Health, dental, and vision insurance
Retirement plan
Generous PTO policy
We are committed to pay equity and transparency.
is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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 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.