Chime runs a member-facing banking app on a dual-cloud (AWS and GCP) stack with streaming via Kafka, Kinesis and Flink, and a lakehouse built on Snowflake, Iceberg and dbt. Ray, PyTorch, CUDA and SageMaker in the stack line up with active work on AI platform infrastructure, an AI financial assistant and call and chat summarization. Hiring is engineering-led and senior-heavy, with director-level openings in growth acquisition, strategy and design.
Notable leadership hires: Director, Strategy and Growth Initiatives, Head of Legal Ops, Design Director, Tech Lead Manager, Growth Acquisition Director
Chime is a San Francisco-based financial technology company founded in 2012 that offers mobile banking services to everyday consumers in the United States. Its app provides accounts without overdraft fees, early access to direct deposit pay, credit-building tools and financial education features. Chime is not a bank itself; banking services are delivered through partner banks The Bancorp Bank, N.A. and Stride Bank, N.A. The privately held company employs between 1,001 and 5,000 people and hires in the United States.
Chime's stack includes AWS, GCP, Snowflake, Apache Iceberg, Kafka, Kinesis, Flink, Spark, Kubernetes, Terraform, Python, Go, Scala, Ruby on Rails, React Native, PyTorch, Ray and SageMaker.
Job posts point to AI platform infrastructure, an AI-powered financial assistant called Jade, AI self-service tools, and call and chat summarization, supported by PyTorch, Ray, CUDA and SageMaker.
Yes. Engineering is Chime's largest hiring area, with most openings at senior level, alongside marketing, product, data, legal, design and security roles, all based in the United States.
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Chime'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.