Venture builder operating eight products across analytics, data, and consumer tech
SKELAR is a venture builder running eight products with millions of active users globally, organized around analytics and data infrastructure. The hiring mix heavily favors marketing and product (104 of 180 roles) over engineering, paired with active projects in retention marketing, funnel optimization, and A/B testing—suggesting a portfolio of consumer or B2B products where go-to-market and product-market fit drive value more than infrastructure complexity. The tech stack (Tableau, Amplitude, GA4, PostHex, PostgreSQL, Kafka, Kubernetes) supports multi-product operations with analytics and event-streaming throughput; recent adoption of Snapchat, X, and Sora points to social acquisition and emerging AI tooling.
Notable leadership hires: Backend Team Lead, Head of IT, Head of Treasury, Head of Marketing, Analytics Lead
SKELAR is a Ukraine-based venture builder founded in 2014, operating eight distinct products across high-tech, data, and analytics verticals. The company serves millions of users across the USA, South America, Europe, and Asia, with an in-house team of 1,300+ professionals distributed across Poland, Ukraine, and the United States. The operating model combines centralized infrastructure (shared analytics, payment, and reporting systems) with decentralized product P&Ls; active pain points around scaling payment infrastructure, transaction routing, churn reduction, and tax compliance suggest mature revenue-generating products facing growth and operational scaling challenges.
SKELAR uses Tableau, Amplitude, Google Analytics 4, and PostHog for analytics; JavaScript, TypeScript, React, Vue, and Next.js for frontend; Go, PostgreSQL, MySQL, Kafka, and RabbitMQ for backend infrastructure; Docker, Kubernetes, and GitLab CI/CD for deployment; and Figma, HiBob, and Data Studio for design and operations.
SKELAR is hiring in Poland, Ukraine, and the United States, with headquarters in Kyiv, Ukraine.
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.