Product Manager, Agents
Posted on:
September 30, 2025
Job description
The role
We're looking for a Product Manager who has built and shipped agent-based AI systems. Someone who understands the profound difference between single LLM calls and orchestrated multi-turn reasoning with tool use.
You will own the evolution of our AI capabilities from reactive assistance to proactive automation, defining how intelligent systems can safely and effectively operate in clinical environments.
You will report into Product leadership and partner closely with our engineering teams to architect clinical AI used by real clinicians.
This role will be based in our Melbourne HQ or Sydney office.
We don't care about logos; the traditional insignia of competence. We'll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.
Responsibilities
What you'll do
- Architect agent systems that can reason through multi-step problems, understanding context and making intelligent decisions about tool use
- Design orchestration frameworks and tool interfaces that enable AI to interact with complex systems safely and effectively
- Obsess over clinician workflows - understand not just what they say they want, but what would actually transform their day
- Build evaluation methodologies for agent performance, measuring accuracy, reliability, and real-world utility in production
- Establish safety and constraint systems that ensure AI agents operate within appropriate boundaries
- Create feedback loops between agent behavior and product iteration, using real-world performance to drive improvements
- Partner with clinical teams to understand workflows and identify opportunities for intelligent automation
Job requirements
If we'd worked together the last 6 weeks, you'd have:
- Completed a listening tour across Heidi's products, understanding our current AI architecture and identifying opportunities
- Spent a full day shadowing clinicians at one of our partner health systems
- Shipped an experiment that challenged a core assumption about clinician behaviour
- Written a product brief that engineering actually got excited about (rare, but it happens)
- Jumped into customer support tickets to understand current limitations
What you'll need
- 4+ years PM experience with at least 2 years building AI/ML products, specifically agent systems, autonomous workflows, or multi-turn AI applications - but we care more about what you've built than years on the clock
- Deep technical expertise in agent architectures - you've worked with frameworks like LangChain, implemented reasoning patterns like ReAct or Chain-of-Thought, and understand tool use in production
- A romantic streak about software - you believe products should be beautiful, not just functional, and that great design can transform someone's day
- Strong understanding of LLM capabilities and limitations - you know what models can and can't do, and how to architect around constraints
- Ability to design evaluation methodologies for agent systems, including performance monitoring and failure analysis
- Systems thinking - you see products as interconnected capabilities that combine and compose, not isolated features
- Technical depth to engage meaningfully with engineers
- Experience with production AI challenges like latency optimization, cost management, and error handling at scale
- The disagreeableness to say the thing that shifts the entire room's perspective (and the tact to say it well)
- Work ON the business, not IN it - you set vision for your domain and connect it to company strategy, not just groom backlogs
- Data fluency - you run your own queries, generate your own insights, and make decisions based on evidence
- Communication skills that work equally well with engineers, executives, and clinicians
- Track record of shipping products with measurable impact on real humans
- Comfort with ambiguity and ability to navigate regulatory and compliance requirements in sensitive domains
If you answer 'NO' to these questions, this may not be the job for you:
- Are you an execution powerhouse?
- Can you debug why an agent made a specific decision by analyzing its reasoning trace?
- Is design thinking baked into how you build products?
- Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call?
- Does the prospect of re-energising our health systems make you feel fuzzy inside?
