We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back. This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience. We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.
About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.
In this role, you will
Drive deep-dive analyses of user behaviour, retention, and monetization
Independently design, monitor, and evaluate A/B tests and experiments
Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability
It’s all about you
Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
Ownership mindset, strong communication skills and structural thinking that will allow you to translate complex data into actionable business recommendations for both technical and non-technical stakeholders
Would be a plus
Experience with GBQ, Python and R for analytics
Familiarity with cohort analysis, LTV modelling, and churn prediction
Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work
What we offer
Care and support:
20 paid vacation days, 15 sick days, and 6 additional days off for family events
Up to 10 additional days off for public holidays
100% medical insurance coverage
Sports and equipment reimbursement
Team building events, corporate gifts, and stylish merch
Financial and legal support
Position retention and support for those who join the Armed Forces of Ukraine
Participation in social initiatives supporting Ukraine
Comfortable working environment:
Work from our Kyiv hub or remotely with a flexible schedule
Workspace rental reimbursement in other cities and abroad
Modern equipment or depreciation of your own tools
Investment in your future:
Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases an
