Product Engineer
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 8, 2026.
About us
Nylon is the AI research platform for tax and law professionals.
The tool practitioners reach for when the answer has to be right. We're used by 2,000+ firms across NZ, AU and the UK, backed by Blackbird, and expanding fast beyond research into the wider workflow professionals live in: client meetings, documents, the tools firms already use.
The role
Product engineers at Nylon own a product stream end to end. Not a ticket queue or a component: a customer problem, and the outcome for the firms that have it.
You'll talk to accountants and lawyers, work out what actually makes a difference to their day, decide what's worth building, build it, ship it, then go back to the customer who asked for it and find out whether it worked.
What that looks like
You talk to customers every week: calls, onboarding sessions, support threads. You'll have customers you know by name and can ring to test an idea.
You decide what to build. You weigh customer pain, usage data and commercial impact, and make the call with product instead of waiting for a spec.
You ship early. Get a rough version in front of real users, then iterate on what they actually do, not what they said they'd do.
You own the result: adoption, retention and revenue for your stream, not just whether it shipped. That includes production health, observability and the occasional incident.
You work full stack, including the UX. You design the first version yourself with our design system and bring in design when it's worth polishing.
How we work
AI-native. Agentic dev tooling (Claude Code) is the development loop.
Async-first. Effective writing is a key skill.
No prescribed solutions. We agree the problem and the constraints; how you solve it is yours.
About you
We care about evidence of ownership, not years of experience.
We hire product engineers at every level. We set the level through the interview, not the title on your CV.
You've taken something from a customer conversation to production and can tell us what changed for them
You'd rather talk to a user than guess, and you're comfortable on a call with a partner at an accounting or law firm
High agency: you own outcomes, not tasks
You reason in trade-offs, technical and commercial, out loud and in writing
You already use AI tooling to ship faster, and you're curious about where that goes next
Show us something you built because you wanted it to exist (a repo, an app, a product or a business all count)
Bonus: you've worked in or alongside accounting, tax, law or another professional-services world
Stack
What we run today. Experience with it helps; it isn't a filter.
Node.js, React, PostgreSQL
AWS, Terraform, Docker
Jest, GitHub Actions, Datadog