Fertility care marketplace with outcome-based payment models
Gaia operates a fertility care network where members access treatment through clinic partners under outcome-based contracts—clinics get paid whether treatment succeeds or fails, shifting financial risk to Gaia. The tech stack is data-infrastructure heavy (Fivetran, Airbyte, Stitch, dbt, Snowflake, BigQuery, Redshift, Databricks, Looker) with multi-warehouse support, suggesting complex member cohort tracking and clinic performance analytics. Hiring velocity is accelerating across marketing (3 roles) and engineering, while active projects center on financial transparency, clinic onboarding, and autonomous content generation—all pointing to a scaling operation moving from founder-led to organizational maturity.
Notable leadership hires: Head of Product
Gaia operates a fertility care network connecting members with clinic partners through flexible, personalized treatment plans. The business model transfers clinical and financial risk to Gaia—members choose protected plans and clinics are paid based on agreed terms, not member outcomes. The founder created the company after his own IVF experience and reports a member cohort large enough to produce a live birth every 2.6 days, with NPS above 80. Operating from New York with 11–50 employees, Gaia is actively scaling with accelerating hiring and recent project work on clinic onboarding, member communication, and growth infrastructure.
Python, SQL, TypeScript, and PostgreSQL for backend; dbt, Fivetran, Airbyte, Stitch, and Apache Airflow for data pipelines; Snowflake, BigQuery, Redshift, and Databricks for analytics; Looker, Metabase, and Tableau for visualization.
Gaia is headquartered in New York, NY and is actively hiring in the United States, United Kingdom, and Brazil.