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Heidi Health

AI-driven clinical documentation and workflows

Clinical Engineer Associate

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 3 years of experience in implementation engineering or a customer-facing technical role.
  • Experience in SaaS, health technology, or enterprise software is ideal.
  • Ability to own ambiguous, high-stakes problems end-to-end without a playbook.
  • Experience working embedded with enterprise customers or health systems is a strong plus.

Responsibilities

  • Work directly with clinical and operational stakeholders to design and build custom workflows suited to care delivery.
  • Serve as the escalation point for complex agentic issues by diagnosing problems, coordinating with engineering, and closing the loop with the customer.
  • Lead demonstrations, technical discussions, and solution architecture for clinical AI workflows.
  • Define success measures for each deployed workflow and build evaluations to demonstrate success.
  • Visit clinics and hospitals to understand the teams the company serves firsthand.
  • Own margin trade-offs in deciding when to build, customise, or roll out existing knowledge flows.
  • Run safety audits and recommend ongoing evaluation refinements.

Desired Qualifications

  • Experience working embedded with enterprise customers or health systems.

About the Company

Heidi Health

AI-driven clinical documentation and workflows

Heidi Health builds AI-powered tools for clinicians and health systems that automate documentation and care workflows. Its platform acts as an AI assistant during patient encounters by capturing the visit, drafting clinical notes, and coordinating follow-up tasks, so clinicians spend less time on paperwork and more time with patients. The product works by integrating with clinicians’ workflow, generating draft notes and structured data, and guiding actions across care steps within the system. Heidi differentiates itself through its focus on agentic documentation and end-to-end care workflows, rapid adoption across hospitals and clinics worldwide, and strong growth funding that supports scaling these AI agents across health systems. The company’s goal is to improve clinician efficiency and patient care by reducing administrative burden and enabling health systems to deploy scalable AI agents globally.

Company size
501-1,000
Company stage
Series C
Total funding
$191.3M
Headquarters
Melbourne VIC, Australia
Founded
2019

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