Super.com runs a consumer savings and earning app built around travel and fintech products, anchored by its Super+ membership. Hiring is accelerating and tilted heavily toward data, backed by a Snowflake, dbt, Airflow and Kafka stack and pain points around petabyte-scale data and platform scaling. A cloud-native Kubernetes setup with Istio, Crossplane and Kyverno shows mature platform engineering, while finance and security roles point to tightening controls and audit readiness.
Super.com is a San Francisco-based, privately held company founded in 2016. It offers consumers a single app for saving and earning money, with core products in travel deals, cashback, savings and credit building, sold through the Super+ paid membership. The company has 201–500 employees and hires in the United States and Canada. Its product runs on AWS with Python, FastAPI, TypeScript, React and PostgreSQL, and analytics are handled in Looker and Snowflake.
Super.com builds on AWS (EKS, MSK, RDS, ElastiCache) with Kubernetes, Python, FastAPI, TypeScript, React, PostgreSQL, Kafka and Redis, plus Snowflake, dbt, Airflow and Looker for data.
Yes. Data is Super.com's leading hiring area, with work focused on ingestion pipelines, scaling its data platform and maintaining petabytes of data, alongside engineering, finance and security roles.
Super.com is headquartered in San Francisco, California, and hires across the United States and Canada.
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Super.com's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.