Connected photo frames and family calendars sold via retail and DTC
Skylight makes Android-based smart displays for families, and its stack shows real device engineering: AOSP, Kotlin, Jetpack Compose, plus low-level debugging with JTAG, UART and Perfetto. Hiring tilts toward sales, and pain points center on national retail accounts and inventory forecasting, so the company is pushing hard into big-box retail. A parallel build of a Snowflake finance and operations data layer points to reporting that has outgrown manual workflows.
Skylight is a privately held consumer electronics company headquartered in West Hollywood, California, with 51–200 employees. It makes Skylight Frame, a shareable digital photo frame, and Skylight Calendar, a family scheduling and chore display. Both products sell to households through direct-to-consumer channels built on Shopify and through national retail partners. Companion mobile apps are built with React Native, and backend services run on Ruby on Rails and AWS. Hiring is currently focused in the United States.
Skylight's stack includes AOSP, Kotlin and Jetpack Compose for its devices, React Native and TypeScript for its apps, Ruby on Rails on AWS for the backend, and Snowflake and Segment for data.
Yes. Sales is the largest area of current hiring at Skylight, with roles focused on national retail accounts, plus smaller openings in data, engineering, marketing, ops and security in the United States.
Skylight is building a finance and operations data layer in Snowflake with leadership dashboards. It is also running retail product launches, paid acquisition for new products, and an AI security scanning pipeline.
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Skylight'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.