Pump.co pools cloud and AI purchasing so customers get volume discounts and visibility into spend across AWS, GCP and Azure. Its own stack mirrors that multi-cloud footprint, with Terraform, CloudFormation and AWS CDK alongside Kubernetes and a Python/FastAPI backend. Accelerating, engineering-led hiring centers on scaling backend systems and an AI-powered cost savings engine.
Pump.co is a San Francisco-based, privately held company founded in 2022 with 51–200 employees. It runs a group-buying model for cloud infrastructure and AI services, aggregating customer spend to unlock lower pricing while offering spend analytics and stack security at no cost to customers. The product is built with Python, Django, FastAPI and PostgreSQL on the backend and React, TypeScript and Next.js on the frontend. Go-to-market runs through HubSpot and Salesforce, and current hiring is concentrated in the United States across engineering, sales and support.
Pump.co uses Python, FastAPI, Django, PostgreSQL and DynamoDB on the backend, React, TypeScript and Next.js on the frontend, and runs on AWS, GCP and Azure with Docker, Kubernetes and Terraform.
Job posts point to a cloud cost optimization platform with AI-powered savings, a group buying discount engine, CI/CD pipeline improvements and cloud-native infrastructure design.
Yes. Hiring is accelerating and weighted toward mid-level engineering roles in the United States, with additional openings in sales and customer support.
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Pump.co'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.
