Associate Director, App

What you'll do

• Build, mentor, and manage a team of 8–10 engineers; oversee workload, performance, and delivery.
• Set the application-layer technical roadmap and own end-to-end delivery of the platform, including chat, agents, artifacts, and integrations.
• Partner with scientists, ML researchers, product managers, and engineering leaders to turn scientific workflows into product capabilities; represent applied-AI work externally.

What they ask for

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12+ years of engineering experience building and deploying large-scale production systems, including 5+ years leading senior engineers.
• Track record of building and growing high-performing teams in high-growth or early-stage environments.
• Technical judgment across Applied AI and full-stack technologies; hands-on use of AI coding assistants and agentic tooling.

Nice to have

• Experience shipping products using AI agents, graph-based workflows, MCP, RAG pipelines, or LLM orchestration frameworks.
• Scientific computing or laboratory software experience; applied-AI thought leadership is also a plus.

Pay

$204,000 — $306,000 USD (base salary)

Tools

MCP, React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes

AI focus

Leads development of AI agents, interfaces, and platform integrations for scientific workflows; AI is central to the architecture, including agent frameworks, tools, and LLM orchestration.