Nanit pairs connected consumer hardware with a heavy ML and streaming backend: TensorFlow, PyTorch, Kafka, Materialize and Rust on AWS and Kubernetes, plus native Swift and Kotlin apps now moving toward Kotlin Multiplatform. Job posts show a two-track push, with senior engineers building agentic AI systems and data platforms while marketing and sales drive D2C expansion into the UK and Canada.
Nanit is a privately held consumer electronics company headquartered in New York City with 51–200 employees. It sells parenting-focused connected devices and companion mobile apps, with a direct-to-consumer storefront on Shopify. Its engineering organization runs a polyglot backend spanning Python, Rust, Clojure and Elixir, with PostgreSQL, Redis, Kafka and RabbitMQ for data and messaging. The company hires in the United States and the United Kingdom across engineering, marketing, sales and security.
Nanit uses AWS, Kubernetes, Docker, Python, Rust, Clojure, Elixir, TensorFlow, PyTorch, Kafka, Materialize, PostgreSQL and Redis, with Swift/SwiftUI and Kotlin/Jetpack Compose for mobile and Looker for analytics.
Job posts point to direct-to-consumer expansion in Canada and the UK, along with international trade show participation and growing market share in key international regions.
Nanit hires in the United States and the United Kingdom, with open roles across engineering, marketing, sales and security, weighted toward senior and lead positions.
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Nanit'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.
