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PKF Doyle & Associates seeks an accountant who also builds automation for client work using AI tools. Three days a week you handle client work and financial statements, two days you develop systems that support the whole practice.
We value curiosity and the ability to turn complex processes into repeatable workflows, with documentation so the firm owns the knowledge. No CS degree required, just a pragmatic, learning mindset.
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A role that probably doesn't exist anywhere else near here
Three days a week you're an accountant. Client work, financial statements, tax, the usual.
Two days a week you build the systems the rest of us use to do that work.
We're looking for one person to do both, because we've come to the conclusion that you can't automate an accounting process properly unless you understand it from the inside. The people who know where year-end actually goes wrong are accountants. So we'd rather teach an accountant the technical side than teach a developer accounting.
We're using Claude, Copilot and similar tools to automate the mechanical parts of practice work. Some of this is already running — workflows for year-end preparation, report packs built from Xero exports, structured processes that walk a job from client data through to a finished file. There's a lot more to do.
Your work would be things like: taking a process that currently lives in someone's head and turning it into something repeatable. Finding where our automation produces output that looks right but isn't. Working out which jobs are worth automating and which ones aren't. Writing it all down so the firm owns it rather than one person's memory.
You'd also be the person other staff come to when a tool does something odd, and the person who says "no, we shouldn't use it for that" when we shouldn't.
We don't expect you to arrive with development skills. We expect you to arrive interested, and we'll cover the rest — the technical fundamentals, how to write instructions an AI tool will follow reliably, how to test something before it touches a client file, how to document work so someone else can pick it up.
You'll get real time to learn. Two days a week means two days, not "whenever client work is quiet."
Solid experience as an accountant — intermediate level or above, in practice or industry. Enough that you can look at a set of accounts and know when something's off.
And then the thing that actually matters: you're the person in your current job who automates their own work. You built the spreadsheet everyone else relies on. You taught yourself Power Query because doing it manually was driving you mad. You've been poking at AI tools in your own time to see what they can do. Nobody's ever paid you for that side of your brain.
That's the role. We're paying you for it.
You don't need a computer science degree, a coding background, or a portfolio. Curiosity, decent judgement, and a low tolerance for repetitive work will get you further here than any of those.
The profession is being reshaped by this technology, and most accountants will experience that as something done to them. You'd be one of the people doing it — at a firm small enough that your work gets used within weeks, not filed in a transformation programme.
You'd also be building a skill set that very few accountants have. Whatever happens with your career after this, that combination is going to be valuable.
Beyond that: a firm where people know each other, a client base that's been with us for years, mentoring and support towards CA if you're working through it, and a reasonable view on hours.