Jobs at Preply

Lead and grow high-performing engineering teams in Growth or Monetization, define strategy, coach engineers, drive delivery and technical decisions, partner with Product/Data/Design, and champion engineering best practices to deliver reliable, high-impact features at scale.

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.

Identify, recruit, onboard, and manage high-quality affiliates and strategic partners. Scale inbound acquisition and automate onboarding workflows. Create onboarding materials, define commission models, optimize partner performance, report to leadership, and collaborate cross-functionally to maximize ROI and GMV.

Design and build scalable React Native mobile features, collaborate with designers and PMs, maintain high code quality through reviews and testing, and improve engineering practices while participating in A/B experiments.

Lead technical direction and hands-on delivery across platform squads to improve CI/CD, reliability, scalability, and developer self-service. Drive operability (SLOs, monitoring, runbooks), troubleshoot high-impact production issues, build platform services, mentor senior engineers, participate in on-call, and use metrics to measure outcomes and adoption.

Design, build, and operate scalable batch and streaming ingestion pipelines and a governed data lake. Implement data contracts, validation, enrichment, observability, and governance to ensure reliable, production-grade datasets for analytics, ML, and product teams.

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.

Design, build and own backend features and integrations (primarily using Python/Django), collaborate with cross-functional teams, guide technical decisions, ensure reliability through troubleshooting, monitoring, and scalable architecture, and participate in on-call rotation and continuous improvement.

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.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking deep learning models for personalized learning; collaborate with product and engineering, mentor junior scientists, and establish ML best practices and production pipelines.

Maintain and improve GTM tech stack and CRM hygiene, build automations, run deal governance, create Salesforce dashboards, analyze funnel and retention metrics, and partner with Sales/Marketing/CS to optimize processes.

Lead design and ownership of Preply's data lake and end-to-end batch and streaming ingestion pipelines. Define data contracts, implement validation and observability, build enrichment and lifecycle management, enforce governance and privacy, and enable self-service ingestion templates and tooling while driving cross-team collaboration and platform reliability.

Lead design and evolution of complex data models, build and optimize ETL/ELT pipelines, maintain Looker/LookML BI layer, enforce data governance, CI/CD, and automated data quality to support experimentation and personalization.

Apply machine learning, causal inference, and experimentation to optimize paid marketing. Build recommendation, regression, and LTV models; design A/B tests; collaborate with performance marketers and data engineers to deploy scalable pipelines and inform marketing investments and product decisions.

Lead product-focused analysis: design and evaluate large-scale experiments, model feature impact, define KPIs and tracking, analyze user behavior and retention, surface actionable insights, and partner with product and engineering to prioritize roadmap decisions.

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.

Lead design of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own BI/semantic layer (Looker/LookML), drive data quality and governance, partner with Product/AI teams, and mentor analytics engineers.

Design and evolve core analytical data models, set analytics engineering standards, build and optimize ETL/ELT pipelines, own the Looker semantic layer, improve data quality/governance, partner with product and data science, and mentor analytics engineers to enable self-service, experimentation, and scalable decision-making.

Technical leader for the Platform Tribe who designs, builds, and operates platform services. Drives cross-squad initiatives (CI/CD, delivery workflows), improves reliability (SLOs, observability, runbooks), leads incident response, mentors engineers, and implements durable automation and operational standards.