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Heidi Health

AI-driven clinical documentation and workflows

Head of GTM Operations

Sales OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Experience owning GTM Operations, Revenue Operations, or revenue systems at a globally distributed company with multi-product growth.
  • Experience scaling, not just maintaining, a GTM Operations function at a SaaS company between $50 million and $200 million in annual recurring revenue.
  • Hands-on fluency with HubSpot or Salesforce, Segment, Braze, SQL, dbt, and warehouse pipelines.
  • Track record of hiring and developing GTM Operations talent.
  • Hands-on building, prototyping, or side projects demonstrating an interest in AI.

Responsibilities

  • Define and own the global customer data model across product events, contracts, billing amounts, tiers, regions, and ideal customer profile segments.
  • Define globally consistent data fields and the attributes regions may configure locally.
  • Govern new field requests by approving fields into the global model or placing them at the application layer.
  • Administer HubSpot across CRM, Marketing Hub, and Sales Hub, including objects, properties, permissions, automation, and integrations.
  • Own Segment, Braze, and GTM-facing dbt models and pipelines that transform raw event and CRM data into revenue-ready datasets.
  • Build and maintain integrations with product usage data, finance and billing systems, and partner platforms.
  • Lead build-versus-buy decisions, vendor management, and contract negotiations for the GTM Operations stack.
  • Define and maintain canonical funnel stages and their entry and exit criteria across regions.
  • Instrument and publish stage-to-stage conversion rates by segment, region, and ideal customer profile.
  • Set pipeline hygiene standards and enforce them through automation and reporting.
  • Own the sales velocity model and metrics, including average deal size, win rate, sales-cycle length, and representative throughput.
  • Run a structured win/loss program and feed insights back into product, marketing, and enablement.
  • Establish and operate the deal desk, including discount governance, ideal-customer-profile-tied commercial levers, and tiered approval thresholds.
  • Roll out and reinforce a common sales methodology, embedding it in CRM fields, deal reviews, and forecasting.
  • Build onboarding and enablement systems and tooling, including content management, certification, and ramp tracking, in partnership with regional enablement leads.
  • Establish and maintain a single source of truth for revenue metrics across pipeline, productivity, and retention.
  • Build board-ready GTM dashboards for pipeline, funnel, productivity, retention, and attribution.
  • Own data and reporting infrastructure for weekly, monthly, and quarterly business reviews, including metric definitions and refresh cadence.
  • Deliver self-serve analytics for sales, marketing, and customer success leaders.
  • Define integration patterns for the GTM stack, including event-driven, idempotent, retried systems with clear sources of truth and propagation rules.
  • Set and publish service-level objectives for revenue-critical systems, including lead routing, scoring, billing-event flow, and attribution.
  • Own the on-call rotation and incident response for GTM-platform issues.
  • Maintain architecture decision records for significant decisions and review them quarterly.

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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