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Own and evolve Preply's ML platform: design experiment tracking, artifact management, GPU training and scalable inference, CI/CD for ML, observability, and LLM/RAG capabilities while mentoring engineers and aligning platform delivery with product goals.

Lead backend architecture and implementation for scalable systems, build and integrate backend services, scope and drive cross-functional initiatives, mentor engineers, improve performance/observability, and ensure reliability while collaborating with product, design, and data teams.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking models for personalized learning. Collaborate cross-functionally, mentor junior scientists, and establish ML best practices from research through production.

Lead and deliver backend systems and integrations at scale. Set technical direction, scope cross-functional initiatives, mentor engineers, improve performance and reliability, and collaborate with product, design, and data teams.

Lead and execute strategic end-to-end engineering initiatives for the Learning Teams. Define architecture and technical roadmaps, evolve core services for scalability and reliability, improve developer experience and engineering practices, mentor senior engineers and tech leads, and make build-vs-buy and vendor decisions to deliver measurable product outcomes.

Lead technical strategy and roadmaps for Learning Teams; drive end-to-end strategic initiatives, evolve architecture and core services for scale and reliability, improve developer experience, mentor senior engineers, and make build-vs-buy and vendor/tooling decisions.

Lead and grow engineering teams building scalable Python/Django applications focused on learner growth and monetization. Drive technical strategy, execution, cross-functional partnership, code quality, and developer coaching to deliver measurable product and business outcomes.

Design, build, and own backend features and integrations for a high-scale web application using Python/Django. Collaborate in cross-functional squads, run A/B tests, ensure reliability through monitoring and CI/CD, troubleshoot incidents, and guide technical decisions to balance short-term delivery with long-term quality.

Lead and evolve Preply's global IT function: set roadmap and tooling strategy, build AI-first automations, manage international device lifecycle and office technology, enforce identity and endpoint security, control SaaS spend via FinOps, deliver dashboards for leadership, and grow a lean, process-driven IT team that scales operations and influences C-level decisions.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.