Top Tech Jobs & Startup Jobs

Analyze loyalty and retention mechanics to measure booking impact, costs, and optimization opportunities. Segment partners, design and interpret experiments, build financial and scenario models, and translate findings into actionable rules for Retention, Commercial, and Finance teams. The role also involves improving analytics workflows through automation, reusable queries, templates, and agentic coding tools.

Develop backend services for a Big Data platform supporting data ingestion, storage maintenance, analytics integration, and distributed data processing. The role involves Java or Kotlin development with Spring Boot, Kafka, PostgreSQL, and Kubernetes, plus opportunities to work with Spark, S3-compatible storage, and other Big Data technologies. Responsibilities include contributing to design and architecture decisions, participating in the full development lifecycle, taking ownership of tasks, and collaborating with technical mentors.

Serve as the operational backbone for the Chief Commercial Officer by managing calendars, communications, executive materials, travel, meetings, offsites, action items, dashboards, and cross-functional project delivery. The role coordinates senior stakeholders, improves internal workflows, maintains leadership visibility, and supports autonomous operational decision-making in a fast-paced remote travel-tech organization.

Supports supplier and client integrations by monitoring booking performance, troubleshooting technical issues, investigating vendor problems, coordinating developer tasks, restoring access, and maintaining technical documentation. The role requires experience with logs, monitoring systems, APIs, and Postman, plus strong written and verbal English communication with international vendors. Travel technology support experience is preferred, and the position offers remote work.

Analyze B2B commercial data to identify growth opportunities, design experiments, evaluate pricing and credit-limit initiatives, and measure business impact. Apply SQL, Python, statistical analysis, A/B testing, difference-in-differences, causal inference, and forecasting methods. Work independently with commercial and project teams to support pricing, market expansion, and partner analytics decisions.

Develop Python backend services and analytics tools for an internal platform. Build APIs, integrations, admin interfaces, and frontend features with React. Integrate LLMs, databases, and analytics interfaces; contribute to AI agents and Text2SQL capabilities. Participate in architecture decisions, testing, code reviews, and open-source adaptations while collaborating with data engineers.

Develop and maintain unified observability across Kubernetes, databases, Trino, Hadoop, and Apache Ozone. Build DORA metrics collection and service health dashboards, identify monitoring gaps, optimize Alertmanager rules, reduce alert fatigue, and provide centralized SRE expertise. The role requires strong Prometheus, Grafana, Alertmanager, PromQL, reliability metrics, incident analysis, and distributed-systems knowledge.

Own and lead the big data infrastructure platform, including deploying, upgrading, and operating HDFS, object storage, Iceberg, monitoring, and alerting. Drive infrastructure modernization, migrate Iceberg catalogs, implement multi-tenant quotas, improve observability, and support large-scale data architecture changes. Collaborate with a parallel infrastructure engineer, share solutions, provide coverage, and influence platform architecture.

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.

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.