Lead AI Engineer

About the role

LEAD AI ENGINEER

Hi, I'm Akbay, Head of Engineering at Reflow.

Most engineering roles at this stage ask you to execute. Pick up tickets, ship features, move to the next one. That's not what we're looking for.

Reflow is building something that requires you to care about the outcome, not just the output. We track how work actually happens inside organizations and turn that into intelligence. The data is messy, the product surface is wide, and the problems are greenfield. You need to want to dig into that, not just be okay with it.

I'm looking for someone who gets energy from complexity, moves fast without cutting corners on the things that matter, and wants to see their fingerprints on a product that real teams depend on. Someone who can build and lead, in that order.

If that sounds like the kind of work you want to be doing, read on.

Akbay

WHY REFLOW EXISTS

Most organizations have no reliable way to understand how work actually gets done. They track outputs, not workflows. They measure activity, not intelligence. The result is a massive blind spot at the operational layer of every team.

Reflow closes that gap. We're a workforce and workflow intelligence platform that sees how work flows through an organization and turns that into insight and automation. Our automation agents take the workflows we observe and run them for our customers, across browser and desktop apps, with the company-specific context that general-purpose agents don't have. We're early, growing fast, and automation is where we're putting a lot of our weight next.

WHAT YOU'LL ACTUALLY DO IN THE FIRST 3 MONTHS

Month 1: Understand the system and fix what matters most. Learn how a recorded workflow becomes an automation, how a run is executed, and how it recovers. Find the parts that hold the system back the most, fix them, and get the improvements shipped to clients, not just merged. By the end of the month customers should notice the difference.

Month 2: Make the whole system better. Move from the most critical parts to all of them: workflow creation, execution, recovery, evals, observability and cost. Get to a point where we are confident in every update before it ships, and where we can bring on more clients without any drop in quality, speed or cost per run.

Month 3: Drive the project. Take the lead on where automation goes next. Bring your own ideas, sharpen the vision, and keep a close eye on the market: what the model vendors and other agent products ship, what customers ask for, and where Reflow should go to stay ahead. Turn that into a roadmap and steer the project by it.

HOW THE ROLE LOOKS BEYOND 3 MONTHS

You own the AI automation project end to end: architecture, reliability, observability, cost, and the roadmap of what it can do next. You stay fully hands-on, this is a building role. Engineers who contribute to automation work with you on it, and you set the technical bar they work to. Beyond automation, you help shape the other AI pipelines in the product, such as our AI companion and the systems that mine our activity data for insight.