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As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

Lead recruitment marketing activations to attract engineering, data/AI, design and commercial talent. Plan and execute events, campaigns, Glassdoor strategy, careers page improvements, and paid/organic recruitment channels. Measure impact and partner with TA, Brand, and stakeholders to turn attraction into qualified hiring pipelines.

Lead and scale Preply's GRC program: run enterprise risk assessments, manage third-party risk, maintain SOC 2 Type 2 compliance, develop security and privacy policies, track KRIs, support audits, automate GRC workflows, and drive security culture across teams.

Lead and scale Preply's GRC program: run enterprise risk assessments, manage third-party risk, maintain SOC 2 compliance, shape security and privacy policies, support audits, track KRIs, drive security culture, and automate GRC operations using AI and tooling.

The role involves AI research and development, focusing on deep learning and NLP for personalized learning experiences, along with mentorship and collaboration with product teams.

Lead design and roadmap for a scalable ML/GenAI platform: lifecycle architecture (training, deployment, monitoring), cloud-native GPU infrastructure, CI/CD for ML, observability and governance, LLM/vector retrieval capabilities, self-service tooling, cross-functional alignment, and mentoring senior engineers to accelerate safe, cost-efficient production ML at company scale.

As a Staff Data Scientist, you will define the data strategy for key product domains, lead analytical initiatives, and collaborate with stakeholders to enhance product and business strategies through data-driven insights.

As a Senior Analytics Engineer, you will architect and optimize data models, enhance data pipelines, and collaborate with cross-functional teams to support data-driven decision-making at Preply.

The Senior Data Analyst will lead complex analytical initiatives, partnering with stakeholders to improve key metrics and drive business impact through data-driven insights and strategies.

Lead technical vision and architecture for a scalable ML/GenAI platform: design cloud-native GPU training and inference infrastructure, CI/CD for ML, observability, model lifecycle and governance. Build self-service tooling, mentor engineers, align cross-functional teams, and optimize cost, reliability, and experimentation velocity to move models from research to production safely and efficiently.