About Us
We’re transforming health insurance for small and medium-sized businesses across the U.S. Our mission is to make healthcare more affordable by driving innovation at every level of health plan design. We are bringing affordable, high-quality, long-term oriented, and ethical health insurance to employers.
2024 marked our breakthrough year: we hit profitability, found strong market fit, and brought affordable healthcare to more than 200 businesses and their employees.We’re a small but mighty team bringing wide-ranging expertise:
Developing mission-critical software at Palantir
Scaling a Y Combinator startup from the very first hire to Series A (50+ employees)
Creating actuarial models used by major health insurers
Leading patient operations teams at a high-growth health plan startup
About the Role
As the Founding Software Engineer | Data Platform, Machine Learning, you will:
Build tools that enhance the productivity and data capabilities of our Data Scientists
Architect and develop high-performance, scalable backend services powering our AI and ML systems.
Scope and spearhead AI and LLM augmentation projects across our product ecosystem.
Some of the projects you'll drive:
Quoting API Infrastructure: Build and scale the infrastructure that powers our health insurance quoting API, enabling real-time ML inference on trillions of claims records while seamlessly incorporating millions of new data points daily to continuously improve quote accuracy and speed
Automated Document Parsing: Own our data infrastructure for extracting structured content from large-scale document ingestion pipelines using LLMs and other technologies
What We Value:
Autonomy and Curiosity: You’re eager to learn, can work independently, and thrive when given the freedom to solve problems your way.
Judgment and Adaptability: You’re skilled at prioritizing projects and making sound decisions in a dynamic, fast-paced environment.
Collaboration: You communicate effectively with both technical and non-technical teammates, always keeping the end-user in mind.
Ownership: You’re ready to own projects end-to-end, from designing architecture to writing clean, maintainable code.
Requirements
3+ years of experience as a backend engineer, data engineer, or software engineer with exposure to data pipelines and large-scale infrastructure.
Strong understanding of data structures, algorithms, and scalable system design.
Demonstrated ability to design secure, robust, and scalable infrastructure for data and backend systems.
Hands-on experience with big data tools (e.g., Spark) and pipeline orchestration platforms (e.g., Dagster, Airflow, Prefect).
Proficiency in a backend programming language like Python and solid SQL skills for querying and database design.
Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.
Why Join Us?
Be part of a team building industry-changing technology that directly impacts our clients and millions of people.
Work alongside a talented team that thrives on innovation, transparency, and collaboration.
Join a team that pushes each other to excel, supports one another through challenges, and builds each other up to achieve our best work together.
Enjoy competitive medical, dental, and vision coverage, plus a generous vacation policy—work hard, recharge when needed, and come back ready to make an impact.
Compensation:
Base: $160-220k base + equity.
Benefits: 100%-paid health insurance benefits, free lunches in the office, fun company retreats, commuter benefits, etc.