Role overview
This company is a fast-growing AI-driven healthcare startup on a mission to make life-changing therapies accessible faster and more affordably. They’re combining first-party healthcare data with cutting-edge AI to streamline one of the most complex and outdated systems in the world — from insurance to drug access to patient support.
Backed by top-tier investors (including funds behind companies like Stripe, OpenAI, and Airbnb), they’re scaling rapidly and have already achieved strong product-market fit. The team is composed of exceptional engineers, operators, and scientists from top startups and research labs.
The culture is
intense, collaborative, and ownership-driven
— ideal for builders who thrive in zero-to-one environments and want to see their work make a measurable impact on real lives.
What we're looking for
- Founder or early-startup experience
- Pear Fellow / Neo Scholar background
- Degree in CS or related field from a top program (or equivalent practical excellence)
Interview process
- Initial Screen (30 min): Background, motivation, and alignment with company mission.
- Technical Interview (45 min): Coding-focused (Python), similar to a Leetcode-style exercise.
- Project Walkthrough (45 min): Deep dive into a previous ML or AI system you’ve built.
- Systems Design (45 min): Evaluate how you approach scaling, deployment, and architecture.
- Onsite / Final Round (Half Day): Collaborative project with the team to assess real-world problem solving and communication.