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Heartflow Tech Stack

AI-powered coronary artery disease diagnosis from CT imaging

Medical Equipment Manufacturing San Francisco, California 501–1,000 employees Public Company

Heartflow delivers AI-driven 3D cardiac modeling to support coronary artery disease diagnosis and management. The stack—Python, PyTorch, C++, and WebGL-based visualization—reflects a compute-intensive medical imaging business; the recent shift to Kubernetes and KEDA (from AWS Lambda/ECS) suggests scaling containerized workloads as clinical adoption accelerates. Hiring is sales-heavy (62 roles open) with strong research and clinical support, indicating a clinical-validation-and-adoption phase rather than pure engineering expansion.

Tech Stack 33 technologies

Core StackPython PyTorch C++ Salesforce Vue Terraform Helm TypeScript NetSuite Tableau ADP Jira Figma Adobe Creative Cloud Apex IronClad SIEM EDR Terragrunt Three.js WebGL Excel PowerPoint Planful Salesforce CPQ Salesforce Sales Cloud Salesforce Service Cloud Visualforce Lightning Web Components

AdoptingKubernetes KEDA

ReplacingAWS Lambda AWS ECS

What Heartflow Is Building

◆Challenges

Increasing adoption of non-invasive cardiovascular diagnostic technology
Adoption of ccta pathway
Meeting clinical study timelines
Billing optimization
Financial success for partners
Driving growth in ccta and ffrct pathway
Maintaining high quality standards
Expanding usage in current accounts
Minimizing access barriers
Achieving favorable coverage policy

▲Active Projects

Ccta and ffrct clinical pathway adoption
Heartflow ct pathway road-shows
Heartflow usage increase in key accounts
Programming to reach ordering physicians
Implement heartflow technology into new accounts
Build end-to-end workflow
Clinical trial timeline development
Customer access & billing optimization
Sop development
Business development plans for key accounts

Hiring Activity

Steady150 roles · 50 in 30d

Department

Sales

62

Research

18

Support

18

Engineering

11

Marketing

6

Finance

5

Healthcare

4

Product

4

Seniority

Manager

61

Senior

35

Mid

23

Director

13

VP

4

Lead

2

Staff

2

Junior

1

Notable leadership hires: Medical Lead, Customer Success Director

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About Heartflow

Heartflow develops a platform that generates personalized 3D coronary artery models from CT scans, helping clinicians diagnose and manage coronary artery disease without invasive procedures. The offering—Heartflow One—combines AI analysis (Roadmap, FFRct, and Plaque modules) with a structured clinical workflow. The company operates across the United States, Europe, and Japan, with offices in San Francisco, California; Texas; the UK; and Japan. At 501–1,000 employees and public-company scale, Heartflow focuses on driving adoption within large health systems and cardiology centers.

HeadquartersSan Francisco, California

Company Size501–1,000 employees

Hiring MarketsUnited States, United Kingdom, Ireland

Frequently Asked Questions

What technology does Heartflow use to build its platform?

Core development uses Python, PyTorch, and C++. Frontend visualization runs on Vue, Three.js, and WebGL. Deployment uses Kubernetes and KEDA; ERP/CRM runs on Salesforce, NetSuite, and Planful.

What is Heartflow's main business challenge?

Scaling adoption of CT-based coronary imaging pathways (CCTA/FFRct) within health systems, optimizing billing workflows, and minimizing access barriers to increase clinical utilization in existing accounts.