Job Description
Chief of Staff
Full-time · In-person · San Francisco
About the role
Ruma Care is hiring a Chief of Staff to work directly with the CEO as we scale.
We’re looking for a consulting / banking / private equity / startup type to join us in person as we scale. You will own some of the most important projects in the company across GTM, sales, operations, finance, fundraising, and special projects.
This role is for someone who understands urgency. You should be intense, organized, analytical, and excited to do hard things without a playbook.
If you perform well, the role, title, and compensation will evolve much faster than they would in a traditional job.
Requirements:
- High agency and ownership. You will be trusted with important work and held accountable for execution.
- Extremely organized and detail-oriented. You manage many moving pieces without dropping the ball.
- Strong analytical ability. You are comfortable in Excel / Sheets and can build clean models, KPI trackers, and operating plans.
- Clear communicator. You can turn messy information into crisp decks, memos, and customer materials.
- Resourceful, proactive, “will do” attitude. No work is below you.
- Move fast, follow through, and make the company more organized every week.
- Willingness to work hard. This is not a 9-5 job.
Perks
- Our space works like a startup office by day and turns into a jam bar, concert space, and arts venue at night.
- Office is right by the Embarcadero waterfront, 3 mins walk from Ferry Building
- Competitive base salary + meaningful early-stage equity.
- Expensed meals
- Health and dental coverage
Interview process
- Call / Coffee with the CEO
- Take-home case
- In-person interview
How to apply
Send your resume and a short note on the hardest problem you have driven to resolution. We read everything and move fast.
About Ruma Care
We’re building the operations stack for biologic infusion clinics. These clinics administer life-changing medications that can cost 80K-150K+ per year, but most of the approval and reimbursement workflow still runs on portals, faxes, spreadsheets, and phone calls. We automate prior authorizations and copay assistance so clinics get paid and patients get treated faster.
We’re backed by Y Combinator, Robinhood Ventures, Rebel Fund, and other world-class investors. We are live with clinics, growing quickly, and building in one of the most painful parts of healthcare.
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Job Details
- Category
- Operations
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $100,000 - $150,000 per year
About Ruma Care
Ruma Care automates all admin work for infusion clinics - starting with prior authorizations & copay assistance enrollment. Biologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. Current medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. We do this in three ways: 1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers. 2. We pull out the correct forms, then automate the form-filling for prior authorizations. 3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform. We turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.
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