Growing together at Cedar

Cedar recognizes that everyone works differently — and accommodates each team member’s needs to help them reach their potential. “The most successful Cedarians are those who are not afraid to say ‘I don’t know’ and those who seek opportunities to learn something new or improve an existing process,” said Implementations Director Harry Morgenstern. Cedarians embrace the company value of “apply a growth mindset,” whether they are working in the office, remotely or in a hybrid capacity. “If you are passionate about healthcare and curious to learn new things, consider applying to Cedar,” Morgenstern said.

At a glance

01

RAPID SCALABILITY

Recipient of $345 million in funding from top investors.


02

AWARD-WINNING

Named to the Forbes Cloud 100 list and Inc. Best Workplaces.


03

CONSUMER-FOCUSED

Incorporates best-in-class data science and UX design practices.


04

GUIDING PRINCIPLES

Company values include “Focus on the vision” and “Apply a growth mindset.”


Search the 22 jobs at Cedar

Recently posted jobs

Fintech • Healthtech • Software
The Director of Sales is responsible for leading the New Verticals team to drive new business and exceed revenue targets within the dental and orthodontic segments. Key responsibilities include managing enterprise sales processes, building relationships with stakeholders, and executing an account strategy using Salesforce to track deals.
Fintech • Healthtech • Software
The Sr. Product Manager will lead the product development for Cedar’s communications platform, focusing on internal tool improvements and user engagement. Responsibilities include developing product strategies by researching user needs, executing roadmaps, collaborating with cross-functional teams, and driving insights-driven decision-making to enhance product value for providers and patients.
Fintech • Healthtech • Software
The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.