Jobs at Babbel

Support paid advertising campaigns across search, app, social, and display channels. Monitor budgets and performance, build reports, analyze campaign and subscriber data, research competitor advertising, and help test ad copy, creative, landing pages, and audiences. Collaborate with Creative, Analytics, Product, and Martech teams while gaining practical performance marketing experience.

Build, operate, and evolve serverless backend services for Babbel’s learning platform using TypeScript, Node.js, and AWS. Own API and data contracts, type-safe transformations, production reliability, observability, incident response, and safe data changes. Work independently across unfamiliar codebases and use coding agents responsibly. Contribute to infrastructure-as-code and CI/CD delivery, with occasional Python work and optional Go or Rust components.

Own the vision, strategy, and roadmap for Babbel Labs’ AI content generation product. Lead generative AI workflows, prompting, evaluation, quality loops, and human-in-the-loop processes. Define content quality standards, metrics, and prioritization using learner, reviewer, expert, and business insights. Partner with engineering, design, data, and learning content teams from discovery through launch. The role requires shipping complex GenAI products, managing ambiguity, aligning stakeholders, and scaling content creation across languages and learning levels.

Leads global paid social, influencer, and emerging-channel growth strategy to increase subscriptions, revenue, ROAS, and customer lifetime value. Owns budgets, forecasting, experimentation, creative testing, attribution, and performance optimization across markets. Manages two direct reports, agency and platform relationships, and cross-functional initiatives. Drives AI and automation adoption to improve campaign execution, reporting, decision-making, and team workflows.

Lead technical strategy and architecture for AI-powered content systems across the organisation. Define standards for AI evaluation, governance, observability, security, and reliability. Influence roadmaps with senior stakeholders, identify risks and opportunities, mentor senior engineers, and lead complex cross-team initiatives. Combine hands-on delivery of AI/ML production systems with organisation-wide technical direction to ensure scalable, measurable impact on product and learner outcomes.

Own Babbel’s pricing, packaging, and monetization strategy across products, markets, and customer segments. Lead subscription, family plan, add-on, trial, discount, and offer decisions from customer research and quantitative modeling through experimentation, launch, and measurement. Build pricing frameworks and capabilities while partnering with Product, Growth, Marketing, Finance, Data, and Engineering to improve revenue, conversion, retention, and acquisition efficiency.

Leads Babbel’s Data Platform team, combining people leadership with hands-on technical direction. Responsibilities include developing data engineers, delivering reliable pipelines and infrastructure, establishing observability and incident management, partnering with cross-functional stakeholders, and building governed, scalable platforms for analytics, data science, product, engineering, AI, and agent workloads.

Build and operate an internal developer platform to enable product teams to deploy and run services. Lead cloud migration to a modern, cloud-native AWS setup, design infrastructure and system architecture, implement IaC and delivery pipelines, and collaborate closely with product engineers to unblock them. Use TypeScript/Node and coding agents as part of daily development.

Lead development of core iOS learning experiences as an individual contributor: design and ship a distributable Swift package, prototype features, define APIs and contracts, write tests, collaborate with product/design/backend, and maintain CI/CD and agent-driven tooling to improve learning paths, exercises, and real-time speaking features.