Own and build Preply's strategic partnerships function end-to-end: define strategy, identify and secure global digital and fintech partners, lead negotiations and execution, collaborate with Product/Engineering/Growth/Brand/Payments/Supply, unify partnership efforts, track performance, and scale a team as traction grows.

Lead two Martech squads (Scale and Tracking) to set vision, build scalable acquisition and tracking platforms, ensure reliability, compliance and observability, partner with Marketing/Data/Product/Legal, and grow engineering leaders while driving disciplined execution.

Lead Product org operations: run planning and review cadences, own OKR and roadmap processes, drive cross-team alignment, design scaling models for Product/Design/Tech, lead strategic initiatives and continuous organizational improvements to increase speed, quality, and impact.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Build and maintain high-quality React Native mobile features end-to-end, collaborate with cross-functional teams, ship experiments via A/B framework, ensure testing, monitoring, and performance in production, and improve app architecture and developer processes.

Lead and scale Preply's data products function: define vision, build ML/LLM and data platform products, drive experimentation, measure business impact, hire and coach teams, and partner across Product, Engineering, and Data to deliver scalable, product-first data capabilities.

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

Lead and scale product, marketing, and business analytics and experimentation. Set strategy, enforce statistical standards, deliver metric governance and single source of truth, partner with Analytics Engineering, drive marketing measurement and forecasting, hire and mentor senior managers, and represent analytics at executive level to improve retention, conversion, monetization, and LTV.

Support CEO Office and senior leadership by driving transformation and cross-functional strategic projects: build financial/business models, run data-driven analyses, define KPIs, create reports/dashboards, and coordinate implementation and stakeholder alignment.

Lead backend architecture and cross-functional projects, build scalable Python/Django services and integrations, mentor engineers, improve performance and observability, and drive data-informed product decisions.

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

Own availability and performance of mission-critical services, improve scalability and observability, build platform tooling, run on-call rotations, practice blameless incident response, collaborate with product teams, and follow FinOps best practices.

Lead design and implementation of Preply's ML platform: experiment tracking, artifact management, scalable GPU training and inference, CI/CD for ML, observability, drift detection, and LLM/RAG capabilities; mentor engineers and align platform with product and cost goals.

Lead FP&A, corporate finance, procurement, and Finance PMO; partner with CFO and execs on financial strategy, forecasting, investor readiness, public-company preparation, and scalable finance systems while building high-performing teams.

Lead and scale global payroll across US, UK, Ukraine, Spain and EOR partners; manage two specialists; ensure compliance, reporting, automation, month-end reconciliation, and IPO audit readiness.

Lead design and evolution of scalable data models and ETL/ELT pipelines, own Looker/LookML BI layer, ensure data quality/governance, collaborate with data science, and drive company-wide analytics strategy.

Partner with Payments Operations to analyze and optimize pay-ins, payouts, and fraud. Build statistical and ML models, design experiments, monitor transaction health, improve risk rules, and deliver insights to shape product and monetization strategy.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

Work in a cross-functional team to design, build, and own backend features and services (primarily Python/Django), implement A/B tests, ensure monitoring and reliability, troubleshoot production issues, and guide technical decisions to improve quality and scalability.

Lead technical direction across platform squads, ship and operate critical platform services, improve CI/CD and delivery workflows, drive reliability (SLOs, observability, runbooks), remediate production issues, mentor engineers, and participate in on-call and incident response to raise platform quality and developer experience.