Full-Time

Head of Software/ML

Posted on 1/27/2025

Cardiosense

Cardiosense

11-50 employees

Non-invasive cardiac monitoring with AI analytics

Compensation Overview

$220k - $260k/yr

Chicago, IL, USA

In Person

Category
Engineering Management (1)
Required Skills
Kubernetes
Microsoft Azure
Software Testing
Data Science
Docker
CloudFormation
AWS
Terraform
DevOps
Google Cloud Platform
Requirements
  • Engineering management including hands-on operations experience within a full-stack medical device company including class II/III devices, mobile gateways, mobile/desktop apps, cloud infrastructure, and data science
  • 10+ years SW development experience along with 5+ years of experience managing development teams through full product lifecycle: from concept, through commercialization, to production maintenance
  • Strong experience with microservices/containerization (e.g. Docker, Kubernetes etc.), infrastructure automation tools (e.g. Terraform, CloudFormation, etc.), and public cloud service providers (e.g. GCP, Azure, AWS)
  • Strong desire to lead and develop junior team members
Responsibilities
  • Lead design, architecture, and development of software platform roadmaps
  • Hire, coach, and groom a strong engineering organization optimized for lean, iterative, product development cycles
  • Collaborate with product teams to translate user workflows into technical specifications and design implementations
  • Develop and manage development budgets, resources, and timelines to ensure successful project delivery
  • Directly manage the internal engineering team for development of software infrastructure. Oversee mechanical and electrical teams related to the development of wearable biosensor device
  • Manage design and deployment of ML infrastructure from data ingestion to model deployment, supporting AI development from early feasibility to production rollout
  • Define and implement agile software best practices, release management, CI/CD, code review, unit testing, and testing automation
  • Ensure compliance with all relevant data privacy and cybersecurity standards
  • Mentor and train team members on design techniques, systems architecture, and coding standards
Desired Qualifications
  • Experience working with IoT devices, health data, and digital signal processing
  • Familiarity with model deep learning tools such as TensorFlow and PyTorch
  • Working in regulated environments (e.g. FDA, ISO 270001, 13485, 62304, HIPAA, SOC2, etc.)
  • Experience with HL7, Smart on FHIR and Mirth Interface Engine

Cardiosense develops a non-invasive cardiac monitoring platform that uses wearable biometric sensors and artificial intelligence to analyze the full electromechanical behavior of each heartbeat. The system continuously tracks heart electrical signals and mechanical activity to provide early warnings of declining heart function. By selling the devices and offering a subscription-based analytics platform, Cardiosense targets hospitals and clinics to help healthcare teams prioritize at-risk patients and enable proactive interventions. Unlike traditional monitoring that relies on invasive methods or single-signal data, Cardiosense combines multiple data streams and AI-driven insights to detect signs of deterioration before symptoms appear. The company aims to improve patient outcomes by enabling timely care while the technology remains investigational under U.S. law.

Company Size

11-50

Company Stage

Series A

Total Funding

$15.1M

Headquarters

Chicago, Illinois

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • CMS expanded remote patient monitoring reimbursement codes in 2025 directly fund heart failure management platforms.
  • Heart failure readmission costs exceed $40 billion annually, creating strong payer incentives for early detection.
  • EHR integration becoming standard requirement positions Cardiosense for rapid Epic and Cerner health system deployment.

What critics are saying

  • CardiosensAI competitor predicts cardiac events 24 hours in advance with real-time AI, eroding first-mover advantage.
  • FDA approval delays beyond investigational use block CardioTag commercialization and analytics subscription revenue streams.
  • Burn rate exhaustion post-$15.1M Series A with no Series B evident forces dilution or shutdown.

What makes Cardiosense unique

  • Multi-modal sensor fusion (ECG, SCG, PPG) achieves 92% accuracy correlating with invasive hemodynamic measurements.
  • FDA Breakthrough Device designation for early heart failure detection algorithm enables expedited regulatory pathway.
  • Physiological waveform AI platform generates actionable decompensation risk biomarkers, not passive data collection.

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Benefits

Hybrid Work Options

Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

5%

2 year growth

2%
VC News Daily
Dec 8th, 2022
Cardiosense Receives $15.1M Series A Round

Cardiosense Receives $15.1M Series A Round Back to HomeCHICAGO, IL, Cardiosense announced that it has raised $15.1 million in Series A funding.Cardiosense, a digital health company leveraging artificial intelligence and multi-sensor devices to enable early detection of cardiovascular disease, announced today that it has raised $15.1 million in Series A funding, co-led by Broadview Ventures and Hatteras Venture Partners, with participation from Laerdal Million Lives Fund, OSF Ventures, UnityPoint Health Ventures, and Portal Innovations. The capital will be used to support team expansion, accelerate product development, and fund an expansive heart failure study.Cardiosense is building a physiological waveform AI platform to develop predictive biomarkers to detect and manage cardiac disease. The Company has developed a suite of novel digital tools, multi-sensor devices, and analysis algorithms to detect early signs of cardiovascular disease, inform personalized therapy, and improve patient outcomes.(c)2011-2020 by Massinvestor, Inc. For contact info, please check out our about page

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