• Manage daily office operations, including deliveries, front desk responsibilities, and coordination with visitors and service providers • Oversee office suppliers and contractors such as cleaning, maintenance, safety, and waste collection • Liaise with the landlord on office-related matters • Monitor office supplies, stationery, and equipment, and place orders as needed • Purchase office furniture and equipment on an ad hoc basis • Maintain kitchen and common areas, including ordering groceries and managing stock levels • Ensure availability of hygiene and restroom supplies • Handle procurement requests via Amazon and other platforms • Coordinate packing, labeling, and shipping of samples • Manage company car operations, including maintenance, servicing, insurance, and refueling • Handle deliveries and resolve logistics issues with suppliers such as orders, returns, and replacements • Manage SIM card procurement and distribution for employees • Collect and process invoices related to office operations and contracts • Upload and reconcile receipts in expense management systems such as Moss and Navan • Support bonus calculation processes for the sales team • Handle bonus-related queries and reporting • Organize team events, including booking hotels, travel, restaurants, and activities • Coordinate in-office events such as team lunches, client visits, and company events • Support exhibitions and marketing events, including logistics and materials management • Arrange business travel and accommodation for employees and executives • Support onboarding of new employees, including office orientation, access setup, and equipment coordination • Assist employees with office setup, including SIM cards, access cards, and keys • Provide ongoing administrative and operational support • Assist with visa application processes • Provide dedicated support to senior leadership, primarily at Sales Director or executive level • Manage calendars, meetings, and scheduling • Coordinate travel, agendas, and communication with internal and external stakeholders • Organize town halls, Q&A sessions, and executive communications • Handle ad hoc administrative and strategic tasks

• Own the end-to-end integration ecosystem across Workday and connected systems • Design scalable integration patterns and determine appropriate approaches (configuration vs integration vs API-based solutions) • Drive long-term scalability, reusability, and reliability of integration solutions • Continuously evaluate and improve existing solutions, bringing forward new ideas and approaches where appropriate • Proactively identify system, process, and data issues and translate them into scalable solutions • Partner with HR and People Systems teams to co-design solutions aligned with business processes • Design and build complex, multi-system integration workflows, including orchestration logic, conditional processing, error handling, and data dependencies • Support and enhance integrations tied to payroll, benefits (including open enrollment), and annual performance/merit cycles • Apply best practices for performance, scalability, and reliability • Collaborate across cross-functional teams and internally with People Systems • Create and maintain technical specifications and integration documentation • Identify opportunities to improve integrations, processes, and system usage

• Work in a Hyper Automation Center of Excellence (CoE) • Actively contribute to the implementation and consolidation of the Intelligent Automation CoE • Support the definition and enforcement of technical and architectural automation standards • Act as a technical reference, ensuring consistency across platforms, teams and solutions • Design and implement solutions in ServiceNow, including App Engine, Flow Designer, IntegrationHub, ITSM and Service Catalog • Evaluate and support the adoption of new platform features • Use platforms' native AI and GenAI capabilities • Structure solutions with a focus on reuse, scalability and technical sustainability • Plan activities, technical estimates and schedules • Manage backlog, epics, features and tasks in Azure DevOps • Communicate status, risks, impediments and technical decisions clearly

• We are seeking a Specialist Data Scientist with a strong foundation in applied statistics and experimental methods. Your mission will be to conduct deep exploratory analyses, design robust experiments including A/B tests, quasi-experiments and counterfactual analyses, and support evidence-based strategic decisions. • As part of the team, you will be responsible for designing experiments, developing Machine Learning and AI models, validating business hypotheses, and turning complex data into clear, actionable insights. • Your work will focus on topics such as customer retention (churn) and extracting value from the customer base, supporting strategic and product decisions. A leadership-oriented stance is expected, contributing not only in technical execution but also in defining analytical approaches and advancing the use of data across the business. • Plan, execute and analyze multivariate A/B tests, quasi-experiments, and counterfactual analyses, ensuring statistical validity and practical relevance; • Conduct detailed exploratory analyses to discover patterns, trends and optimization opportunities; • Lead statistical modeling and causal inference projects, translating results into business recommendations; • Serve as the technical reference for statistics and experimentation within the team; • Propose and implement frameworks for experiment monitoring and impact metrics; • Collaborate with business, product and operations teams to define hypotheses and structure tests collaboratively; • Ensure clear documentation and accessible communication of results for non-technical stakeholders; • Develop machine learning models focused on generating value for the company and our customers.