Decision Engineering Team Lead, Infrastructure Development & Delivery
Lead a small team of AI Software Engineers building LLM-powered tools and agents that accelerate infrastructure development and delivery workflows at a frontier AI compute company. Hands-on coding in Go/Python/TS required alongside people leadership 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 infrastructure development and delivery workflows
Own the team's delivery: identify the highest-impact AI augmentation opportunities across infrastructure development and delivery 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 and internal tools that operational teams rely on
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 infrastructure software company
Compensation & Benefits
Competitive total compensation package (cash + equity)
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