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We are seeking an experienced Senior Finance Director who combines deep expertise in accounting with strategic financial leadership. This role holds full responsibility for global financial reporting, accounting controls, and regulatory compliance, while driving financial planning, performance analysis, and supporting executive decision-making. The ideal candidate will serve as a bridge between operational accounting and strategic finance, ensuring accuracy, compliance, and business growth in a dynamic, international environment. The company, formerly publicly traded, is now privately held following an acquisition.

Key Responsibilities:

Lead and manage global finance and accounting teams, fostering process improvements and best practices.
Oversee all accounting and financial reporting processes in compliance with IFRS/US GAAP and local regulations.
Manage monthly, quarterly, and annual close processes, including preparation of audited financial statements.
Ensure robust internal controls and regulatory compliance across multiple jurisdictions.
Lead annual budgeting, forecasting, and financial performance analysis.
Support M&A activities and post-merger integration processes.
Design, plan, and implement global ERP systems (SAP/Oracle).
Serve as a strategic business partner to senior leadership, supporting executive decision-making.
Liaise with external auditors, consultants, and regulatory bodies.
Collaborate with the board, investors, and global stakeholders.
Partner with private equity owners to drive value creation, operational improvements, and strategic initiatives.
Prepare and present financial reports and analyses tailored to private equity stakeholders, including performance metrics, KPIs, and exit readiness.
Lead or support transformation projects, cost optimization, and post-acquisition integration.

Were looking for a Data Product to join us in leading smart, data-driven products and solutions that create real value for customers, employees, and the business.

This is a key position at the intersection of data, technology, and business managing end-to-end product lifecycles, collaborating cross-functionally with diverse stakeholders, and leading organization-wide processes in a complex, dynamic, and forward-looking environment.



Key Responsibilities
Product Management
Define the vision, strategy, and roadmap for data- and AI-driven products
Identify business needs and translate them into measurable product requirements
Lead discovery and design processes in collaboration with users and business stakeholders
Manage backlog and prioritize features based on business value and impact
Collaborate closely with Engineering, Data, UX, and Data Science teams
Ensure product quality throughout the lifecycle (QA, rollout, adoption)
Data, ML & GenAI
Define data layers, metrics, and intelligent models (ML)
Design, manage, and implement GenAI-based solutions (e.g., language models, chatbots, generative automation, and more)
Measure results, run experiments (A/B testing), and drive continuous improvement
Define business KPIs and translate insights into data-driven actions
Cross-Organizational Collaboration & Leadership
Work closely with business units, regulation, actuarial, risk, digital, service, and other teams
Lead cross-organizational processes within a large and complex enterprise
Communicate effectively with stakeholders, manage expectations, and present business insights

Job Description:
Provide end-to-end guidance for technology projects on application security aspects, from initiation to production, while defining security policies.
Draft security guidelines for development teams to ensure secure coding practices, address vulnerabilities and security gaps in development and production environments and implement technological security solutions in application domains.
Collaborate in designing secure architectures aligned with company policies.
Identify application-level security gaps and define required controls.
Monitor and ensure compliance with cybersecurity risk management directives issued by the regulatory authority, organizational procedures, and security guidelines for various business and technology units.
Support application security assessments, including scope definition, validation of findings, and oversight of remediation efforts to close exposures.
Draft requirement documents for security products and innovative technologies.

Responsibilities:
Responsible for the Consolidation Closing process of the reporting periods (monthly, quarterly, and annually) under the US GAAP.
Manage controls over the financial reporting process.
Monitoring and reviewing the accuracy of financial data.
Assist in Preparing the annual tax reports.
Communicating with the audit firm.
Verifying proper implementation of the company's processes and policies.
Being involved in cross-company projects and supporting the regional accounting teams.

Process vendor invoices, manage payments, and reconcile accounts payable.
Perform daily and monthly bank reconciliations and support cash flow management.
Credit card reconciliation
Provide support on various ad-hoc financial and administrative tasks as required
Handle vendor invoices - review, record, and process for payment
Prepare and execute payments
Perform monthly and quarterly AP aging reports
Communicate with vendors and internal departments to resolve invoice or payment issues
Support audits and assist with AP-related tasks
Process employee reimbursements and company expenses.

Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.

Develop and implement analytical solutions to support personalised data-driven communication, leveraging SQL, data visualisations and advanced tooling.
Identify trends and opportunities through advanced data analysis, modelling, and visualisation. Translate those findings into actionable insights.
Bridge cross-functional teams (CRM, product, Engineering, Monetisation) to understand the user needs, segmentation opportunities, and business goals.
Monitor and report on key performance indicators (KPIs) to track the pain points and opportunities for the business to improve user engagement and optimize communication effectiveness.

Conceptualize and create high-quality motion graphics and animations for social media platforms (think eye-catching explainer videos for TikTok, etc.).
Utilize your mastery of Adobe After Effects and Premiere Pro to craft engaging video content that tells a compelling story.
Partner with the marketing team to understand campaign goals and translate them into visually impactful motion design.
Design dynamic web banners and other digital assets that come alive with movement.
Collaborate on and improve existing marketing materials by adding a touch of motion magic.
Stay ahead of the curve by keeping yourself updated on the latest motion design trends and software advancements.

Analyze and interpret marketing data, including customer behavior, campaign performance, and market trends, to identify insights and opportunities for business growth
Leverage multiple complex big data sets to identify patterns, trends, opportunities, and threats to our marketing operations
Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing campaigns and initiatives
Develop and maintain dashboards and reports to communicate insights and recommendations to senior leadership
Use advanced analytics, data mining, business intelligence, and statistical tools, combined with a strategic and industry point of view, to drive marketing growth
Continuously identify and implement improvements to marketing processes and systems to increase efficiency and effectiveness
Be a leader in the marketing analysis field in the company

Payment Performance Optimization: Analyze payment processor performance to drive smart routing decisions, reduce costs, and improve approval rates.
Fraud Detection & Risk Analysis: Identify fraudulent trends, develop risk indicators, and support initiatives to reduce chargebacks and fraud rates.
Market Expansion & Payment Innovation: Research emerging payment trends and user behaviors to identify and support the integration of innovative payment methods tailored to regional needs.
User Experience Analysis: Analyze data and feedback to identify opportunities to streamline and enhance the payment funnel, ensuring a seamless and efficient checkout experience.
Reporting & Insights: Create dynamic, Payments-specific dashboards and operational reports to monitor payment KPIs and performance trends.

Define and execute the product strategy for platforms that support personalized, data-driven user communication in a B2C context.
Bridging cross-functional teams ( CRM, Analytics, ENG , Monetization) to understand user needs, segmentation opportunities, and business goals.
Design, prioritize, and deliver campaign features that enable targeted, contextually relevant messaging across channels.
Continuously monitor product performance and user engagement metrics to optimize communication effectiveness.
Continuously monitor business KPIs and leverage data insights to improve user engagement.
Evaluate and recommend new technologies or platforms to enhance personalization and communication capabilities.
Develop product roadmaps, manage backlog, and coordinate product launches.

Datasets, Reporting & Dashboards: Build complex datasets that will be used for creation and maintenance of intuitive dashboards and recurring reports that effectively communicate key findings and recommendations to stakeholders and leadership.
Control and tracking: build and set up KPIs tracking system across the user funnel, from user acquisition to stickiness , retention and LTV.
Data Exploration: Leverage large and diverse datasets to uncover patterns, trends, and potential growth drivers across all marketing channels.
Insight Generation: Analyze and interpret complex B2C and user data (customer behavior, results, market trends) to identify key insights and opportunities for optimization.
Performance Optimization: Monitor key performance indicators (KPIs) to evaluate effectiveness, identify areas for improvement, and drive continuous optimization of user acquisition and engagement efforts.
Cross-Functional Collaboration: Partner closely with business managers, product teams, analysts, and data engineers to provide analytical support for strategic decision-making and business planning.
Process Improvement: Proactively identify opportunities to optimize analytics processes, automate reporting, and enhance data accuracy.

Design, implement, and maintain robust data pipelines and ETL/ELT processes on GCP (BigQuery, Dataflow, Pub/Sub, etc.).
Build, orchestrate, and monitor workflows using Apache Airflow / Cloud Composer.
Develop scalable data models to support analytics, reporting, and operational workloads.
Apply software engineering best practices to data engineering: modular design, code reuse, testing, and version control.
Manage GCP resources (BigQuery reservations, Cloud Composer/Airflow DAGs, Cloud Storage, Dataplex, IAM).
Optimize data storage, query performance, and cost through partitioning, clustering, caching, and monitoring.
Collaborate with DevOps/DataOps to ensure data infrastructure is secure, reliable, and compliant.
Partner with analysts and data scientists to understand requirements and translate them into efficient data solutions.
Mentor junior engineers, provide code reviews, and promote engineering best practices.
Act as a subject matter expert for GCP data engineering tools and services.
Define and enforce standards for metadata, cataloging, and data documentation.
Implement monitoring and alerting for pipeline health, data freshness, and data quality.

Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.

We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and, of course, our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?

Responsibilities
Plan, execute, and optimize large-scale performance-based campaigns - mainly on search and social media.
Collaborate with the acquisition, content, design, and tech functions to achieve goals.
Hands-on ability to build this role from scratch, from setting the platforms to the creation of work methods and funnels
Develop and execute UA strategy for mobile web and desktop platforms.
Create, manage, and optimize ad copy and landing pages to improve conversion rates.
Generate comprehensive reports and insights
Monitor campaign performance, analyze data, and make adjustments to maximize ROI.
Stay updated on the latest PPC trends, best practices, and platform updates.