Smart EV home chargers optimizing charging time, cost, and grid demand
Ohme builds hardware and software for smart home EV chargers, integrating with energy tariffs to route charging to cheapest and greenest grid windows. The tech stack reveals a hardware-plus-services architecture: iOS (Swift/SwiftUI), Android (Kotlin/Jetpack), backend via Python/TypeScript on AWS (Kinesis, Flink, Iceberg for real-time data), plus Salesforce for customer management. Hiring is accelerating across engineering, support, and security with a notable focus on security architecture and agent runtime development — signaling rapid scale-out of both platform reliability and autonomous charging logic.
Notable leadership hires: Head of People Strategy
Ohme manufactures and operates smart home EV chargers for residential and workplace use, targeting drivers looking to reduce charging costs and carbon footprint. The company was founded in 2017 and operates from London with 201–500 employees across the UK and Portugal. The product layer spans mobile apps (iOS and Android), cloud-connected charger firmware, and a tariff-aware scheduling engine that adjusts charging windows based on energy pricing and grid signals. Current growth challenges center on scaling operations, maintaining AWS security posture as the fleet grows, and building out internal infrastructure (HR systems, analytics pipelines, security architecture reviews).
iOS (Swift, SwiftUI, Xcode), Android (Kotlin, Jetpack Compose), Python and TypeScript backends on AWS (Kinesis, Flink, Iceberg, CDK), Firebase for realtime features, and Salesforce for CRM. Also Zendesk and Freshdesk for support.
Ohme is headquartered in London, UK. Current hiring is active in the United Kingdom and Portugal, with notable leadership openings including a Head of People Strategy role.
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Ohme'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.