heidihealth.com.au · Melbourne ·
Analyze growth and marketing data for a healthcare AI startup, building dashboards and models to track campaign performance, funnel conversion, and revenue retention using dbt, Databricks, and Omni.
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We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties.
Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart.
We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.
We’ve grown annual recurring revenue from $1 million to $50 million in two years.
To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund.
If you want to join us in doing work worth shipping, jump in.
Heidi's data lives on the growth side more than most companies' data does. Every week, signups become clinicians, clinicians become retained sessions, and retained sessions become the revenue that lets us build the next feature. We need someone who can sit inside that pipeline and tell us, honestly, whether it's working.
You'll spend most of your time embedded with Growth and Marketing, but you'll go wherever the business needs eyes on a number. This month that might be campaign performance and channel mix, next month it's unpacking how user behaviour shows up in revenue retention. You've done this enough times to know how to structure the analysis, find the metric that actually matters, and bring people along without losing them in the SQL.
Own the data models and analysis behind Growth and Marketing: campaign performance, channel mix, funnel conversion and acquisition metrics, end to end
Defend our CAC and budget guardrails with a commercial eye on every campaign
Take ambiguous questions from anywhere in the business and shape them into a clear analysis plan with insights people can act on
Build the dashboards and reports that let teams find their own answers, no analyst required
Turn findings into recommendations people can actually act on, and say no when a request is solving the wrong problem
Maintain the data pipeline end to end, from ingestion to the models built on top of it, so it runs clean and fast
Lead the "why did this number move" investigations, and know the difference between a real trend and a broken pipeline
Work daily in dbt, Databricks and Omni, and help raise the bar for how data gets modelled and trusted here
2-4 years of analyst experience with solid exposure to marketing or growth data in tech or SaaS, though we care more about what you've shipped/built than years on the clock.
A romantic streak about software. You believe great products can transform someone's day.
You go find the answer yourself before you ask someone to pull it for you.
When a number looks wrong, your instinct is to dig in and find the root cause, not caveat it away.
Passion for AI, shown through hands-on building, prototyping, or side projects.
You default to building over requesting.
You're confident in your thinking and open to being wrong. Great ideas win regardless of who surfaces them.
Can you take a vague "is this campaign working?" and come back with actionable insights?
Do you go find the answer yourself before asking someone to pull it for you?
When a number looks wrong, is your instinct to dig in and find the root cause rather than caveat it away?
Can you hold your own in a room with opinionated stakeholders and get them aligned on what the data actually says?
The data can be messy, the questions can come from any direction, and priorities shift fast. If you'd rather own a broad remit than sit in a single lane, this is a good place to do it.
Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism.
Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that.
Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford.
Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander.
Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless.
Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it.
You'll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we'd like to see. We're medicos, engineers, builders, and designers who've felt the moral and practical toll of what non-care feels like. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally.
Building what we're building isn't always easy. But we didn't choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn't whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you're doing the defining work of your career.
We offer a $1,000 annual learning and development budget, a $150/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $10,000, four weeks of work from anywhere per year, and serious equity.
We chose to open-source our benefits hub, if you care to take a peek.
Simular · Singapore