Home energy management platform powering a residential virtual power plant
Renew Home coordinates home energy use to shift demand toward cheaper, cleaner hours, aggregating households into a virtual power plant. Its multi-cloud stack (AWS ECS/EKS plus GCP Pub/Sub and Cloud Functions) is moving toward serverless and infrastructure-as-code via AWS CDK, Terraform and Prefect, matching job-post focus on streaming device telemetry. A director- and staff-heavy hiring mix, including an Accounting Director, points to finance and platform leadership buildout.
Notable leadership hires: Accounting Director
Renew Home is a privately held energy technology company headquartered in Oakland, California, with 51–200 employees. It runs a home energy management platform that helps households save energy and move consumption to times that are less expensive, lower-carbon, or helpful to the grid. By aggregating these adjustments across many homes, the company is building a virtual power plant capable of delivering large-scale grid capacity. Its platform serves millions of residential users, and the company hires in the United States.
Renew Home uses TypeScript, Node.js, Python, PostgreSQL, Redis, Celery and Docker on AWS (ECS, EKS, RDS, Lambda, Redshift) and GCP (Pub/Sub, Cloud Functions), with Terraform, AWS CDK and Prefect being adopted.
Job posts point to real-time streaming pipelines, an enterprise data lakehouse, shared internal libraries, a devcontainer strategy, and building operational and support foundations for 10M+ users.
Renew Home is headquartered in Oakland, California, and hires in the United States, with steady hiring across engineering, data, finance, ops and design.
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Renew Home'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.