Venture builder running data-driven consumer subscription apps
SKELAR is a Kyiv-based venture builder operating a portfolio of consumer products, run on a performance-marketing engine spanning Meta, Google, TikTok, Snapchat, Quora, Apple Search Ads and Amazon Advertising. Hiring is accelerating and heavily marketing-weighted, with user acquisition and analytics leadership roles open. A Python, Airflow, dbt and Amplitude/Mixpanel analytics layer supports subscription funnel optimization and A/B testing, while the team is moving off Airtable.
Notable leadership hires: User Acquisition Lead, Head of Marketing, IT Service Desk Lead, Analytics Head
SKELAR, founded in 2014 and headquartered in Kyiv, Ukraine, is a privately held venture builder that launches and operates startups centered on technology, data and analytics. Its portfolio of consumer products serves users across the Americas, Europe and Asia. The company employs between 1,001 and 5,000 people and recruits in Ukraine, Poland, the United States, Mexico, Venezuela and Colombia. Its products rely on paid user acquisition, web and subscription funnels, and product analytics, with front-end work in JavaScript, TypeScript, Vue and Angular.
SKELAR uses Python, Pandas, Apache Airflow, dbt, Tableau, Amplitude and Mixpanel for analytics, Vue, Angular and TypeScript on the front end, and Okta, Jamf Pro, Kandji and Intune for IT management.
Yes. Marketing is SKELAR's dominant hiring area, with open leadership roles including User Acquisition Lead and Head of Marketing, alongside finance, data and product hiring.
SKELAR hires in Ukraine, Poland, the United States, Mexico, Venezuela and Colombia, with headquarters in Kyiv.
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SKELAR'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.