Harper
Customer Intake Specialist
United States · Exec
Sponsorship not specified$50k-$60kDetected 148 days ago
RESTCRMCustomer SupportCommunication
About the role
- You're the first voice a customer hears when they come to Harper - and the first link in the chain that turns a phone call into structured data the rest of the company runs on.
- This is high-volume, high-intensity phone work.
- You talk with business owners all day - contractors, restaurant owners, consultants, trucking companies - learning how their operations work and capturing the information that powers everything downstream.
Responsibilities
- Almost no one joins Harper for insurance; they join to build the company that replaces how it works.
- Team lead screen - skills and culture fit
Requirements
- prior experience in high-volume phone or customer-facing roles
- You can type fast while talking - simultaneously, not sequentially.
- You have business sense and can quickly grasp how different businesses operate.
- You have the stamina to hold quality from the first call of the shift to the last.
Nice to have
- insurance, financial services, or regulated-industry experience
- bilingual (Spanish)
- CRM or call-center software experience.
- It's back-to-back calls and accurate note-taking, all shift.
- The value is in doing the same thing well hundreds of times, not in variety.
- Accuracy is the whole game.
- A fast call with sloppy notes is worse than no call.
- Mistakes propagate downstream.
Compensation
- $50,000-$60,000 + performance bonuses (variable based on volume and quality)
Benefits
- Health, dental, and vision insurance
Company info
- We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it.
- If you thrive under pressure and get energy from talking to customers, apply.
This listing is sourced directly from Harper's careers page and normalized into a canonical job model.