Jobs at Emerging Travel Group

Investigate technical issues affecting hotel and room availability, analyze alerts and metrics, test hypotheses, identify root causes, and escalate effectively. The role supports internal users, suppliers, developers, and stakeholders; documents solutions; monitors systems; improves processes; manages projects; and contributes to AI-powered automation and product optimization. Familiarity with APIs, logs, monitoring tools, JSON/XML, and SQL is required, with Grafana and travel or e-commerce experience preferred.

Supports finance analytics by extracting and preparing data with SQL, maintaining reporting and reconciliation scripts, checking data quality, and explaining findings. Builds dashboards and data marts, researches unit economics and plan-versus-actual performance, and collaborates with finance, commercial, marketing, and product stakeholders. The role requires BI tools, Excel, business metrics knowledge, and strong analytical communication.

Support supplier settlements, reconcile revenue, payments, invoices, and outstanding balances during an ERP transition. Manage virtual credit card records, payment data, banking information, and accounting documents using 1C, ERP, spreadsheets, Extranet, and CRM systems. Respond to hotelier requests, process payment-related adjustments, verify ERP settlement accuracy, and collaborate with internal teams and the ERP implementation team.

Supports a one-year ERP transition by reconciling revenue, partner, accounts receivable, and accounts payable data; identifying and correcting discrepancies; managing 1C development tickets; preparing audit reports; and coordinating with support, accounting, and ERP implementation teams to improve automation and reporting.

Reconcile partner balances, payment allocations, 1C revenue against analytics data, and back-office records. Send partner statements, resolve issues with partners and internal teams, handle corporate channel and email requests, and prepare auditor-requested reports and reconciliations. The role requires finance experience, strong Excel skills, 1C or ERP knowledge, and intermediate English proficiency.

Performs monthly revenue and partner balance reconciliations, adjusts records, and supports 1C/ERP process automation. Oversees e-invoice and credit/debit note submissions through the SDI system, handles finance-related requests, communicates with internal teams and partners, and prepares audit reports and reconciliations.

Own end-to-end machine learning projects for travel and B2B optimization, including look-to-book prediction, ranking, recommendation systems, cache freshness, pricing, and multi-objective optimization. Build and productionize models using large-scale data, collaborate with data engineers and analysts, define experiments, and deliver measurable business impact through robust Python pipelines and services.

Owns end-to-end B2C customer communications across email, push, and in-app channels. Develops CRM and customer value management strategies to improve retention and lifetime value, launches trigger-based and bulk campaigns, conducts A/B tests, analyzes performance, manages promotional budgets, and collaborates with analytics, creative, product, development, and copywriting teams.

Provides internal technical support to account management, commercial, and operations teams. Investigates reported issues, analyzes technical data, identifies root causes, and resolves problems. The role involves routine support tasks, detailed written communication with international colleagues, and collaboration within a small team. Familiarity with SQL, Jira, CRM systems, Postman, Grafana, and Kibana is beneficial. The position offers remote work, flexible scheduling, training, and professional development.

Manage an Asia-based portfolio of travel suppliers, improving hotel inventory competitiveness and performance. Analyze operational metrics, identify underperformance causes, negotiate commercial and payment terms, oversee API integrations, and resolve supplier issues with Technical, Product, Finance, and Customer Support teams. Prioritize partners and initiatives based on business impact while coordinating cross-functional projects and maintaining strong international stakeholder relationships.

Test payment integrations and processing systems across international markets using manual testing and Python automation. Perform test design, test analysis, and REST API testing with tools such as Postman. Collaborate with analysts, developers, support teams, and external payment providers to ensure reliable payment methods and integrations. Independently own tasks, participate in technical discussions, and help improve QA processes while expanding automation capabilities.

Develop backend CRM/ERP functionality with Python and Django, support Camunda infrastructure, integrate LLM models, and build AI-related services. Design service architectures, make technical decisions, estimate and decompose tasks, conduct code reviews, collaborate with analysis, QA, and support teams, and coordinate development projects. The role requires expertise in PostgreSQL, APIs, high-load systems, Docker, Kubernetes, and CI/CD.

The Senior Product Manager for Content leads the strategy and execution of the content processing pipeline, overseeing data standardization, enrichment, and user experience improvements to drive revenue growth and organizational alignment.

Designs and deploys BPMN and DMN automation processes in Camunda 8, configures AI-driven customer support workflows, and supports production automation scenarios. Integrates processes with REST APIs, JSON, and Kafka, troubleshoots active workflows, and delivers continuous improvements. Partners with product, technical, analytics, and business teams to clarify requirements, implement AI and LLM capabilities, and promote automation across the organization.

Lead revenue and profitability analysis across regions, identify performance gaps, build corrective action plans with commercial teams, establish governance, optimize cost of sales and partner economics, and drive measurable margin improvements.

Build and scale resilient, fault-tolerant infrastructure for high-load systems. Configure CI/CD delivery pipelines, automate routine tasks, manage Linux infrastructure with infrastructure-as-code, and support database clusters. Manage production Kubernetes clusters, write Helm charts, maintain PostgreSQL high availability, backups, and replication, monitor and troubleshoot systems, and participate in on-call duties.

Build and scale resilient, fault-tolerant infrastructure for high-load systems; configure CI/CD delivery pipelines; automate operational tasks; manage Linux infrastructure with IaC; support database clusters; monitor and troubleshoot production Kubernetes environments; write Helm charts; maintain PostgreSQL high availability, backups, and replication; and participate in on-call duties.

Support and develop the infrastructure for a large-scale IT product: administer service operations, implement and maintain CI/CD pipelines, and automate routine tasks. Participate in incident response and collaborate with the engineering team to improve reliability and operational efficiency.

Support and develop infrastructure for a large-scale IT product: operate services, implement CI/CD, automate routine tasks, and participate in incident response while collaborating with the engineering team.

Develops end-to-end machine learning solutions for pricing, forecasting, optimization, customer journey efficiency, and business growth. Responsibilities include data collaboration, A/B test design, classical and deep learning, time series and uplift modeling, error analysis, production preparation, model monitoring, and stakeholder communication.