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Lead and scale Preply's GTM systems and automation (Salesforce, HubSpot, BI tools), ensure data integrity, build dashboards and playbooks, manage vendors and a small systems team, and partner cross-functionally to optimize lead-to-revenue processes and adoption.

As the Talent Development Lead, you will own Preply's talent development strategy, create impactful learning programs, and ensure effective onboarding and leadership development, all while leveraging AI technologies.

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.

Edit performance-focused UGC and organic social videos for paid channels and social platforms. Collaborate on concepts and scripts, deliver final assets in CapCut/Premiere Pro, coach teammates, share trends, and support the Social Media and Performance teams.

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 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.

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.

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.

The Staff Data Analyst will define data strategies for product domains, conduct deep analyses on user behavior, and mentor other analysts. This role involves optimizing metrics and frameworks for impactful decision-making.

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.