Jobs at Preply

Own complex, senior, and hard-to-fill searches across commercial and business functions. Advise senior stakeholders on talent strategy, develop global sourcing approaches, use recruiting data and AI to improve hiring decisions, champion structured interviews, and contribute to calibration, interview training, employer branding, and broader talent acquisition process improvements.

Leads Preply’s MarTech product organization across multiple squads, defining strategy, hiring and coaching product leaders, and scaling marketing through automation. Owns growth, subscriber acquisition, revenue, and CPA outcomes with Marketing leadership. Develops AI-native capabilities for search, advertising, and marketer workflows while balancing build-versus-buy decisions, data pipelines, channel integrations, experimentation, and global market relevance.

Lead Preply’s engineering talent acquisition function across global hubs. Manage TA Partners, personally handle complex technical searches, translate workforce plans into hiring strategies, improve recruiting processes, track funnel and pipeline metrics, lead interviewer calibration, strengthen sourcing and employer branding, and coach the team. Partner with senior engineering leaders, including the CTO, to deliver high-quality hiring outcomes while improving candidate experience, consistency, speed, and recruiting effectiveness.

Lead the end-to-end launch of Preply Pro, an AI-first freemium product, and manage strategic cross-functional initiatives. Own product strategy, roadmap, pricing, packaging, business case, conversion and retention metrics, stakeholder alignment, customer insight, experimentation, and execution across multiple squads and functions. The role requires operating without a dedicated squad while coordinating resources to deliver measurable commercial and customer outcomes.

Develop and own backend features and services using Python and Django, including third-party integrations. Collaborate cross-functionally to build scalable products, participate in A/B testing, troubleshoot issues, and improve system quality through testing, monitoring, code reviews, and scalability practices. Senior engineers guide technical decisions, use agentic AI responsibly, support occasional JavaScript or TypeScript work, and participate in an on-call rotation.

Build and lead development of Preply’s CRM communications platform. Develop backend services with Python/Django and frontend experiences with React/TypeScript, integrate third-party CRM systems, and create automation and AI-assisted workflows. Own complex initiatives from discovery through deployment, shape scalable architecture, improve observability and reliability, mentor engineers, and partner cross-functionally on experimentation and measurable product outcomes. Participate in on-call rotation and promote engineering best practices.

Own 3–12 month strategic transformation projects spanning retention, monetization, market expansion, partnerships, and M&A evaluation. Lead cross-functional teams, structure ambiguous problems, conduct data-driven analysis and market research, align senior stakeholders, manage workstreams, resolve risks, and deliver measurable business outcomes. Prepare executive and board-level narratives and recommendations while influencing leaders without formal authority.

Lead and grow a Fraud Operations team owning strategy, investigations, chargeback management, KPIs, governance, and cross-functional collaboration with Product, Payments, and Finance to reduce financial exposure and improve detection.

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.

Lead and grow Preply’s Data Platform engineering team, defining the Lakehouse, ingestion, governance, data quality, and reliability strategy. Partner with Analytics, ML, Data Science, Product, Security, and Engineering leaders to prioritize platform investments, guide architecture, improve operational excellence, and deliver trusted data products. Responsibilities include coaching engineers, hiring, setting SLOs, managing incidents, driving execution, and evolving team structure and technical standards.

Own the full product lifecycle for a growth-focused platform area, including product strategy, roadmap development, prioritization, experimentation, metrics, and continuous improvement. Collaborate with engineering, design, and business teams to deliver user-centered features. Use qualitative and quantitative insights to improve learner and tutor experiences, retention, discovery, and business growth.

Manage Preply’s engineering talent acquisition function across global hubs. Lead and coach TA Partners, personally handle complex technical searches, translate workforce plans into hiring strategies, improve recruiting processes, monitor funnel performance, lead interviewer calibration, develop sourcing and talent-mapping strategies, and partner with senior Engineering and TA leaders to deliver high-quality hiring outcomes.

Lead FP&A for B2C marketing economics: own modeling, forecasting, scenario analysis, and executive reporting. Partner with Growth Marketing on channel investment, geo expansion, incrementality, and paid/organic dynamics. Build investment frameworks, guardrails, and ROI-driven decision tools using Looker, Excel/Sheets and AI to improve model accuracy and inform CMO/CFO-level decisions.

Owns risk, reputation, and crisis communications across Preply. Responsibilities include identifying emerging issues, developing response strategies and messaging, maintaining crisis frameworks and playbooks, monitoring media and online conversations, coordinating sensitive media inquiries, preparing spokespeople, leading simulations, advising senior leaders, and partnering cross-functionally with Legal, Trust & Safety, Product, People, and other teams.

Lead GenAI and Agentic Platform engineering across two teams of approximately 8–12 engineers. Set technical strategy, guide architecture for model access, evaluation, observability, retrieval, orchestration, tools, memory, permissions, and safety, and partner with Product, Applied Science, Data, Security, and Engineering. Responsibilities include hiring, coaching, organizational health, platform prioritization, stakeholder alignment, build-versus-buy decisions, and delivering reliable, scalable AI infrastructure.

Build and operate backend services, internal developer platforms, CI/CD systems, testing capabilities, and developer tooling using Python. Improve developer productivity and experience through scalable paved paths, cloud-native systems, distributed architectures, and AI-native development workflows. Partner with engineering teams to identify friction, measure platform effectiveness, and enable autonomous software delivery.

Build AI agents, reusable agent capabilities, and agentic workflows that automate software development at Preply. Develop integrations with codebases, APIs, MCPs, internal tools, and engineering systems; design orchestration, context, evaluation, verification, and human-in-the-loop mechanisms; and take prototypes into reliable, scalable solutions. Collaborate across engineering, product, design, and data teams while measuring adoption and business value.

Lead Preply’s global IT function, setting strategy while remaining hands-on with identity, endpoint management, automation, and scripting. Manage international device lifecycle, workplace technology, SaaS spend, vendor relationships, IT security controls, dashboards, and compliance readiness. Develop a high-performing team, introduce AI-native operations, partner with Security and Finance, and advise C-level stakeholders on technology, cost, risk, and employee experience.