Power market data, analytics and delivery for energy traders
Yes Energy supplies cleaned, standardized power market data to traders, utilities and renewable developers, delivered via analytics tools, APIs and cloud databases. A multi-cloud stack (AWS, Azure, OCI) with Snowflake, Oracle and Kubernetes, plus a new MLOps Lead and projects around Yes AI infrastructure and inference services, signals a push from data delivery into production AI. Acquisition integration is the most repeated theme in its job posts.
Notable leadership hires: MLOps Lead
Yes Energy is a privately held company headquartered in Boulder, CO, founded in 2008, with 201–500 employees. It aggregates power market data from public, partner and proprietary sources, covering ISO/RTO nodal markets and generation and flow data. Customers include trading firms, hedge funds, power companies, asset managers and renewable developers. Data is delivered through visual analytics software, APIs, data lakes and cloud databases, backed by a team of market and technology specialists. The company hires in the United States and Romania.
Yes Energy runs on AWS, Azure and OCI with Kubernetes and Jenkins, builds in Java, Python, C# and React, and stores data in Snowflake, Oracle, SQL Server and MySQL. Salesforce, Jira and Freshdesk support business operations.
Yes. Hiring is accelerating and skews senior, led by engineering with support, data and sales roles alongside, including an MLOps Lead position. Roles are based in the United States and Romania.
Current initiatives include integrating acquired businesses, building core Yes AI infrastructure, a scalable MLOps platform, batch and real-time inference services, and automating energy data ingestion.
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Yes Energy'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.