AI Tech Lead Manager

About Loop

Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence ay, Loop serves >20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.

Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence ay, Loop serves >20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.

We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.

Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.

As an AI Tech Lead Manager you’ll lead a small team of engineers while staying deeply hands‑on in the code. You’ll report directly to the Director of Engineering, owning both the technical direction of your team and the growth of the people on it.

This is not a role where you hand off the hard problems. We expect you to hold the same technical bar as our senior engineers - roughly half of your week will go into writing and reviewing production code. The other half goes into hiring, developing people, setting direction, and deciding what good looks like.

You’ll start by leading a team of 3-5 engineers who own our agentic automation in carrier expansion, and you’ll work with leadership over time to expand that scope.

This is an in‑person role based in San Francisco, with the expectation of being in the office 4+ days per week.

• Set the technical direction for your team.
• Grow the engineers on your team by setting clear expectations, running one‑on‑ones, writing performance reviews, and giving direct feedback early rather than late.
• Define what good looks like on your team, and address it when the work falls short.
• Own the reliability of what your team ships, including production oncall and incident response.
• Work cross‑functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
• Build and ship the AI harness: the data pipelines, schemas, validation, and feedback loops that let agents do work reliably at scale.
• Start from the outcome, not the process: curate the harness, data, and success criteria instead of the specific logic, then let agents write and validate it against real data.
• Write high‑quality code optimized for extensibility, working across component boundaries from frontend to backend, infrastructure, and our AI stack.
• Engage in code reviews to maintain a high bar of engineering excellence.

• 5-7 years of software engineering experience, and you can still operate at the level of a senior engineer today.
• Experience with Type Script and tools such as GraphQL, Relay, React, and Node.js.
• Experience working at early‑stage companies where you shipped products end‑to‑end and wore many hats.
• Excited to build with AI and apply it to real…