Product Engineer

Nylon

Auckland

On-site

NZD 90,000 - 130,000

Full time

4 days ago
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Job summary

Nylon is hiring product engineers to own end-to-end product streams for tax and law professionals. You’ll talk to accountants and lawyers, decide what to build, ship it, and then measure impact with customers.

You’ll own adoption, retention and revenue for your stream, and work across the stack from UX to infrastructure, using our design system. Strong communication and ownership are essential.

Qualifications

  • Evidence of owning customer-facing product outcomes.
  • Experience taking ideas from conversations to production.
  • Ability to ship iteratively based on real user feedback.

Responsibilities

  • Talk to customers weekly (calls, onboarding, support) to test ideas.
  • Decide what to build by weighing pain, data and impact.
  • Ship early and iterate based on actual usage and outcomes.
  • Own the adoption, retention and revenue for your stream, including observability and incidents.
  • Work full stack, including the UX, using the design system and refining when needed.

Skills

Customer conversations
Product ownership
Full-stack development
Design-system usage
AI tooling usage

Tools

Node.js
React
PostgreSQL
AWS
Terraform
Docker
Jest
GitHub Actions
Datadog

Job description

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

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