
Posted 5 months ago
Product Engineering Manager
MelbourneHybridFull-time
AI Summary
The Product Engineering Manager leads the engineering workflows team, delivering and operating complex clinical AI production systems. They drive outcome-based execution, co-own priorities with product and design, and lead high-performing engineers in a high-stakes healthcare environment.
About this role
Product Engineering Manager
About Us
Lyrebird is building a category-defining clinical AI platform used daily by frontline clinicians. Our products reduce administrative burden, improve documentation quality, and help clinicians focus on the patient in front of them.
Thousands of clinicians rely on Lyrebird every day. That trust is earned through speed, reliability, safety, and operational excellence.
We are shipping software directly into real-world clinical workflows where accuracy, latency, reliability, and trust materially matter. The systems we build are used in live patient environments.
We care deeply about what we build and who we build it for. The systems you help ship will support clinicians making real patient decisions, every single day.
The Role
We are hiring a Product Engineering Manager to run engineering to run our workflows team.
This is a senior, hands-on delivery leadership role accountable for building, shipping, and operating complex production systems in a technically complex, clinically sensitive environment.
You will operate as the engineering counterpart to the Clinical Product Lead, working alongside Product and Design as one integrated product team, co-owning outcomes rather than executing against tickets.
Relentless urgency underpins how we work. We bias to action, shorten feedback loops, and expect visible weekly progress without compromising quality, safety, or trust.
This role is 80 percent operational leadership and 20 percent hands-on technical contribution, and you will own delivery across multiple concurrent initiatives without losing clarity or momentum.
What you'll do
What you'll bring
Skills
AI SystemsClinical WorkflowsData-intensive-systemsHACCPHealthcare ComplianceOperational ReadinessProduction SystemsSystem Reliability
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