Super.com operates a multi-product membership platform spanning travel and fintech, with a tech stack anchored in Python, Node.js, React, and Postgres on AWS. The hiring mix is heavily weighted toward engineering (19 open roles) and data (15), with active projects centered on analytics scaling, BI/data-science platform architecture, and AI-enabled engineering practices—indicating a transition from product-driven growth toward internal data infrastructure and operational efficiency. Pain points clustered around fraud, compliance, and cost reduction suggest scaling challenges typical of high-growth fintech.
Notable leadership hires: Payments Director
Super.com is a membership platform offering travel deals, cashback programs, and credit-building products to consumers. Founded in 2016 and based in San Francisco, the company has grown to 250+ employees and has processed over $2 billion in sales. The product suite is organized around fintech (savings, earning, credit) and travel verticals, monetized through a Super+ membership offering. Engineering and data functions are the primary hiring focus, with active work on payment systems, fraud prevention, tax scaling, and analytics infrastructure.
React, Python, Node.js, PostgreSQL, Redis, Kubernetes on AWS. Data layer: Snowflake, dbt, Fivetran, Airflow, Looker, Amplitude. Monitoring via Datadog and Incident.io.
Scaling analytics infrastructure, embedding BI into core workflows, shipping new fintech and travel products, building fraud and payment rules, and transforming engineering practices with AI tools.
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