
The revenue cycle automation platform.
About the role
We are seeking a Marketing Strategy & Operations Lead to own and optimize our end-to-end marketing technology stack, performance measurement, and go-to-market execution infrastructure. This role sits at the intersection of Marketing, Revenue Operations, Sales, and Finance, ensuring that every marketing dollar, program, and campaign is measurable, scalable, and revenue-aligned. The ideal candidate is both strategic and hands-on: someone who can architect systems, enforce data discipline, and translate complexity into clarity for executive leadership.
Responsibilities
Requirements
Location
We are looking for employees to join our in-person culture in our New York City, San Francisco, or Denver Offices. Our weekly schedule is 4 days in-office and 1 day working remotely.
The estimated starting annual base salary range for this position is $117,000 - $189,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.
We’re fixing one of the most broken and costly pieces of the US healthcare system: medical billing.
Today, healthcare providers spend over $250B each year on administrative overhead just to get paid by insurance. Medical billing is expensive because it’s nuanced and hard - maybe ~100x harder than credit card payment processing - and because it’s traditionally done by armies of humans who track and manage complex rules and processes specific to individual insurance companies with little or no supporting software.
We’re rethinking medical billing from the ground up, using data science and machine learning to automate much of this complexity, so healthcare providers can get paid dramatically more easily and inexpensively.
Since finishing the Y Combinator W20 batch we've been funded by an incredible group of funds + angel investors. We have many more customers begging to use our product than we have bandwidth to serve, which is why we need you to help us scale!