About Futurelastic

Futurelastic goes inside a partner's business and stays there, working with them. What we bring in is a way of thinking; software is the shape that way of thinking has to take to run every day, including when we're not standing next to them. Operations and marketing are the two doors we usually walk in through — but inside a business, no door leads to a small room. Anything a business has to do over and over is material.

What this job is

This role sits exactly where two things meet: an operations team doing real work, and software that doesn't exist yet. You don't take requests — you work out with them what's worth building, then build it yourself. The person who analyses and the person who builds are the same person. You build by running your own team of AI agents, inside a team of people who review each other's work and argue with each other.

Said up front, to save you time

There's a lot of work here, it moves fast, and it's hard — it's not for everyone, including two kinds of good people:

The one who wants to be left alone to code. Half the job here is talking to people who aren't developers.
The one who likes to write a spec and hand it to someone else to build. That layer doesn't exist here — you answer for both ends.

A few examples of what you'll do

Talk first, code later. You sit next to an operator, watch them work, then have an agent build a mock screen in ten minutes so they can click through it and object.
Measure, then pick what's worth doing. The part everyone calls the slowest is usually not the real bottleneck. Four requests came in this week — you pick one, and you can say why.
Run a team of agents. One agent reads old data, one builds a rough draft, one reviews it. You split the work, set acceptance conditions, decide what stays.
Version by version, with the reasoning. Version 1 is rough and usable today. Every version records what you decided and why — that's what we pay for, not lines of code.

What we look for

We hire talent, not years — you may be fresh out of school. We look at how you think:

You ask "what's the real problem" before "what do we build it with". Someone asks for a dashboard; you ask what decision they'll be looking at it to make.
You see the whole machine. Fix one thing and something else moves — you don't patch the symptom and call it done.
You learn fast. Last week you didn't know it; this week you've built it.
You have your own way of working with several agents at once, and you can describe it: what you hand to the machine, what you keep, how you check.
You can take a blunt critique — and say it the same way to others.

What we offer

A team, not solitude. You work with the people building Hangar (an automated software production line) and Cutroom (an automated video production line) exactly this way, and with the operations team — in the Ho Chi Minh City office, in the field, on site at customers.

Big responsibility, early. There's no seniority queue — people with the ability are handed big work right away.

Partners in Vietnam and abroad. You work with several markets at once — a global perspective from day one.

A large AI budget, paid by the company. Claude, ChatGPT, Grok and more — our best engineers run 4–5 Claude Max accounts or the equivalent.

Pay for how you think, not for how many years you've worked. VND 22–50 million a month (gross) — the low end for someone just starting, the high end for someone who has already done, and passed on, the things in this posting.

How we choose

Apply below this posting: your CV (PDF) and three questions. Then a short test with problems you haven't seen before — to see how you think and learn, not what you already know.

Invent or embellish an achievement and you're out. We don't make an offer until we're sure, so this position may stay open a long time.

Before you apply

Read how we work — before signing, not after. Do I want to be held to these things every day? If yes, we want to meet you.

Product Engineer