Teams at Preply

Develops data science and machine learning solutions for paid marketing optimization. Responsibilities include creative performance modeling, conversion-lag prediction, value-based bidding, uplift modeling, causal inference, experiment design, and audience optimization. Partners with marketing, MarTech, Applied AI, CRM, and data engineering teams to improve channel ROI, build scalable pipelines, and translate ambiguous business questions into measurable solutions.

Build and operate production infrastructure for reliable agentic AI systems. Responsibilities include durable agent runtimes, secure tool integration, state and memory management, permissions, guardrails, observability, evaluation, SDKs, workflow frameworks, SLOs, and incident response. The role partners across engineering, security, product, data, and applied science while shaping platform architecture and developer experience.

Designs and operates production GenAI platform infrastructure, including model gateways, routing, caching, evaluation, observability, prompt lifecycle management, guardrails, cost controls, and incident response. Partners with engineering, security, privacy, product, data, and applied science teams to create reliable self-service capabilities for AI workloads.