Own product strategy and roadmap for Heidi's models platform (evaluation, safety, model routing, fine-tuning infrastructure), setting clear goals and being held accountable to achieving them
Prioritise your team's work across enablement requests, model safety and quality, and bets on new capabilities
Figure out where product teams get stuck on your models and fix the platform so they don't
Build eval tooling and fine-tuning workflows that your engineers and product teams can actually use in clinical settings
Decide what to improve next by reading clinician feedback, model quality signals, and what product teams are asking for
Allocate engineering capacity across product teams who all want more than you can give, and tell them clearly what you're deferring
Work with your engineers on eval design, fine-tuning trade-offs, and model architecture decisions at a technical level
Set model quality and safety targets grounded in clinical outcomes (did the note capture the right diagnosis? did the referral letter contain the right history?)
Spot infrastructure that two product teams are building separately and consolidate it
Watch foundation model developments and decide when to rip up your roadmap
Requirements
4+ years working on AI platform, infrastructure, or model-adjacent products, though we care more about what you've built than time served
Technical depth on model evaluation, fine-tuning, and production AI systems. You've designed eval suites, debugged model regressions, and understand what makes models fail in production.
Genuine curiosity about what models get wrong in clinical settings and why
Technical enough to hold your own with your engineers, credible enough to present safety trade-offs to leadership
You use AI tools to do your own work, not just manage people who do
Strong opinions, weakly held. You'll shift the room when you're right.
Willingness to update your views when the technology shifts, which it does roughly quarterly.
Data fluency with diagnostic teeth
can you read evaluation results and distinguish a real regression from noise? Can you design an eval that catches the thing your current suite misses?
Benefits
Flexible hybrid working environment, with 3 days in the office.
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company, if Heidi wins, we all win
The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
If you have an impact quickly, the opportunity to fast track your startup career!