Credit-building platform with AI-powered debt negotiation and rent reporting
Kikoff operates a fintech platform built on Python, Ruby, TensorFlow, and PyTorch deployed across AWS and GCP, with Snowflake + dbt + Dagster handling data pipelines. The tech mix reveals a dual focus: backend ML (TensorFlow/PyTorch) for credit scoring and debt negotiation, plus rapid mobile iteration (adopting Flutter/Dart/testing frameworks). Engineering-heavy hiring (27 of 72 open roles) paired with active projects on "mobile platform foundations" and "app factory" signals scaling strain on iOS/Android infrastructure — a common pain point at companies growing from millions of users to tens of millions.
Kikoff builds a credit-building platform designed to help consumers establish financial history and improve credit scores. The core product is a reported tradeline (Credit Account), supplemented by rent and bill reporting features and an AI-powered debt negotiation tool. Founded in 2019, the company operates profitably with 2 million customers and is headquartered in San Francisco. The product stack spans mobile (iOS and Android) and web, connected to credit bureaus and financial institutions via identity/KYC infrastructure. Kikoff serves individual consumers rather than institutional buyers, with marketing and product teams driving adoption alongside engineering and data science functions.
Kikoff uses Python, Ruby, TensorFlow, and PyTorch for backend and ML workloads; AWS and GCP for cloud infrastructure; Snowflake, dbt, and Dagster for data pipelines; and is adopting Flutter and Dart for mobile development.
Kikoff is headquartered in San Francisco, California, and currently hiring only in the United States.
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