VP of Engineering

Posted:
1/27/2025, 12:44:47 AM

Location(s):
Illinois, United States ⋅ Chicago, Illinois, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Workplace Type:
On-site


Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes.

Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management.

ABOUT THE ROLE: 

As VP of Engineering/Product Development, you will provide execution leadership across multi-disciplinary product development teams spanning hardware, software, and machine learning. The ideal candidate will have a strong hands-on technical background combined with exceptional leadership skills and direct experience managing development of a Software-as-a-Medical Device (SaMD) solution from conception through FDA clearance.



Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Cardiosense

Website: https://cardiosense.com/

Headquarter Location: Chicago, Illinois, United States

Employee Count: 11-50

Year Founded: 2020

IPO Status: Private

Last Funding Type: Series A

Industries: Artificial Intelligence (AI) ⋅ Health Care ⋅ Machine Learning ⋅ Predictive Analytics ⋅ Wearables