RISK

Product Manager

• Manage and develop products across multiple brands and GEOs;
• Analyze user behavior, product funnels, and key business metrics;
• Identify product opportunities and bottlenecks through data, user research, and competitor analysis;
• Generate, validate, and prioritize product ideas that improve user experience and business results;
• Own initiatives from problem definition and requirements to release and post-launch analysis;
• Prepare clear product requirements, specifications, and user stories;
• Coordinate releases, identify blockers, and ensure tasks move forward;
• Work closely with CRM, Marketing, Analytics, Design, Content, and Technical teams;
• Contribute to product roadmap planning and prioritization.

SEO Marketing

• Develop and implement SEO strategies for product websites, satellite sites, and PBN networks.
• Conduct market and SERP analysis to identify growth opportunities, define launch priorities, and drive projects toward measurable business results.
• Monitor rankings, algorithm updates, technical performance, and project risks, and adjust strategies accordingly.
• Conduct in-depth technical SEO audits of large-scale and SPA-based websites and prepare clear technical specifications for developers.
• Develop content strategies and provide actionable recommendations to the content team.
• Build internal and external linking strategies and create anchor plans for SEO projects.
• Define and track SEO KPIs, analyze performance, and translate results into actionable recommendations.
• Use tools such as SE Ranking, Ahrefs, Semrush, and Similarweb to evaluate performance and support strategic decision-making.
• Collaborate closely with Product, Development, Content, and other teams to ensure end-to-end implementation of SEO initiatives.

Senior SEO Specialist

Business Intelligence Analyst

• Monitor data quality by validating accuracy, consistency, and completeness of data across reports and dashboards
• Perform routine checks to ensure timely updates and reliability of reporting data
• Collaborate with analysts and stakeholders to clarify data requirements
• Create and maintain automated reports and dashboards
• Identify, investigate, and help resolve discrepancies in data collection, transformation, and processing
• Optimize Tableau dashboard performance and streamline workflows

Reporting Analyst

Data Analyst

• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports and dashboards;
• Build, maintain, and optimize automated reports and Tableau dashboards;
• Identify, investigate, and resolve data discrepancies across data sources and reporting layers.
• Collaborate with analysts and stakeholders to clarify requirements, define success criteria, and ensure correct interpretation of metrics;
• Monitor product and marketing performance, highlighting trends, anomalies, and optimization opportunities;
• Analyze traffic efficiency, including ROI, LTV, and conversion, to support data-driven decision-making;
• Help transform business questions into clear reporting or analytical solutions;
• Improve reporting processes and optimize dashboard performance to enhance efficiency and usability.

Product Analyst

• Analyze user behavior across key product funnels: registration, deposit, betting activity, withdrawals, bonuses, and retention;
• Monitor key product KPIs such as conversion, retention, churn, LTV, session activity, user engagement, and revenue;
• Prepare product and business reports to identify which features, mechanics, or user flows drive engagement and revenue;
• Validate product hypotheses and help define the analytical approach to evaluate their impact;
• Analyze A/B tests and experiments, evaluate results, and provide clear conclusions and recommendations;
• Segment users and analyze cohorts by behavior, value, lifecycle stage, activity level, VIP potential, or risk patterns to support product and CRM decisions;
• Investigate drops or anomalies in product and business metrics and identify possible reasons behind changes;
• Independently structure analytical tasks, clarify business questions, define success metrics, and choose the right analytical approach;
• Work closely with Product, CRM, Marketing, Anti-Fraud, and other business teams to translate analytical findings into product and business recommendations.

Senior Product Analyst

Affiliate Manager

• Onboard new affiliate partners and manage them through the launch and testing phase within a defined budget;
• Build warm, trust-based relationships with partners and maintain regular communication;
• Monitor and analyze partner performance on a daily basis, assess traffic quality and key metrics;
• Work with traffic acquisition sources, funnels, and buying models to evaluate partner effectiveness;
• Conduct market and competitor research to identify new partnership opportunities;
• Maintain accurate reporting in Excel / Tableau;
• Attend industry conferences to network with current and potential partners;
• Transfer high-performing partners to the scaling team with full handoff documentation.

Affiliate Launch Manager

Marketing

• Plan, execute, and end-to-end manage Facebook and Instagram ad campaigns to achieve core objectives (including lead generation, conversions, and brand awareness).
• Leverage advanced Meta audience tools to build highly targeted and optimized campaigns based on user behavior, demographics, and custom/lookalike interests.
• Continuously monitor and analyze campaign metrics (CPC, CPM, CPA, ROAS, etc.), swiftly adjusting strategies and budgets to hit KPIs and maximize ROI.
• Work closely with our creative team to conceptualize compelling ad visuals and copy that resonate with target audiences and align with campaign goals.
• Oversee, allocate, and manage campaign budgets, ensuring optimal spend distribution to unlock maximum returns while staying within budget.
• Prepare regular performance reports, translating raw data into actionable insights and strategic recommendations for stakeholders and team members.

Media Buyer

Creative Strategist

• Supervise, mentor, and align a cross-functional creative team.
• Build a systematic approach to Creative Preference Optimization: from data collection to final decision-making.
• Implement structured creative evaluation and benchmarking frameworks.
• Form, maintain, and execute a strategic roadmap for the development of internal optimization tools.
• Ensure creative strategy alignment across marketing, product, and R&D teams.
• Identify and monitor core creative quality metrics: CTR, CVR, retention impact, preference scores.
• Conduct in-depth analysis of performance data and user behavioral signals.
• Interpret A/B test results and make data-backed recommendations for continuous improvement.
• Ensure data quality and methodological correctness of all experiments and statistical models.
• Work closely with designers, copywriters, and producers to create high-performing assets that match algorithmic insights.
• Translate complex backend analytics into actionable, easy-to-understand creative recommendations.
• Coordinate the full optimization lifecycle: 'analysis → hypothesis → prototype → test → implementation'.
• Manage the implementation of ML solutions for modeling creative preferences (ranking models, embeddings, scoring pipelines).
• Monitor the quality and efficiency of automatic creative selection and generation systems.
• Initiate the development of internal tools: analytics dashboards, testing automation, content classification, and recommendation algorithms.
• Present optimization results, trends, insights, and business impact to management and stakeholders.
• Generate high-level reports on optimization effectiveness, impact on core business metrics, and ROI.
• Coordinate priorities between teams and actively participate in quarterly OKR planning.