I turn evidence into product decisions that retain
A decade shipping evidence-led product in regulated, high-stakes markets — built for Harmoney's Repeat, Returning & Retention domain.
Hover any node to trace the connection.
Four proof points. Hover any card to see the outcome.
Where I've shipped
Analyst to sole PM on a global marketplace
Twelve years compounding from data and systems into AI-led product ownership — anchored on a decade inside a regulated insurer.
Product Development Manager
GDT · 2023–Present
Sole PM on one of the world's largest commodity marketplaces.
- Modular SaaS platform across the full auction ecosystem
- Price Increment Algorithm — algorithmic stepping in a live market
- Euro-trading go/no-go; platform stabilisation; discovery-first SDLC
How each role compounded into an outcome
Trace any role to the evidence it produced — or start from an outcome and see the IAG foundation behind it. Hover a node to follow the thread.
Four IAG roles feed the channel-shift and AI outcomes; later roles extend the same playbook.
Decisions that showed up in the numbers
RRR is commercially significant and shows up in revenue and loyalty within weeks. Here's where my work has moved real metrics.
0%
Claims handling-time reduction
Real-Time Decision Engine, AU + NZ
0%+
Partner claims now digital
Westpac + BNZ online lodgement
0%
Channel shift to online
IAG digital claim forms
0%
Revenue lift
SME leads-generation platform
Funded
Seed funding secured
ESPE, blank canvas → funded
0+
Live AI products shipped solo
Beyond the day job
Your brief, matched line by line
The role asks for AI fluency, evidence-led discovery, comfort in regulated environments, and influence without authority. Tap each to see the proof.
Five products, five different hard problems
Live markets, regulated automation, 0→1 to funding, and saying 'yes, but sequenced' to leadership.
I don't talk about AI. I ship it — on my own time.
Harmoney's manifesto says AI is how you build, not a feature you bolt on. I already work that way: five-plus live products built solo, plus a daily AI-for-PMs newsletter with a real audience.
$ AI as a first consideration in every Big Rock
$ opinions formed by shipping, not slideware
AI PM Briefing
Daily signal feed + newsletter
Protegizer
Agentic workflows for PMs
Agent Pipeline
6-agent product-strategy tool
Job Match HQ
CV-based job scoring dashboard
Qiwi Saver
NZ supermarket basket comparison
A product decision I got wrong
Your application asks for a decision I got wrong, what I learned, and what I'd do differently. Here's mine — the GDT platform brownout.
GDT's trading platform slipped into sustained brownouts. The signals had been visible for months — but I treated each as an isolated ticket, not a pattern, and didn't read it until we were deep in firefighting.
The signals I missed — tap to reveal what I told myself
Reveal all three signals to see what I changed.
Let's talk about Repeat, Returning & Retention.
Auckland · Hybrid-ready. New Zealand resident, eligible to work, and ready to bring my own structure to a small, AI-native team.