Senior Product Manager - AI Content Creation (all genders)

Description

About Babbel Labs

Babbel Labs is building the future of language learning. We're an AI-first, independent company within the Babbel group, based in Berlin. Our teams bring AI, R&D and product together to ship experiences that set a new standard for how people learn.

Your Mission

You’ll own our content generation systems, with generative AI at their core: how our language experts’ way of teaching turns into learning content for every language combination. That includes the AI generation workflows themselves (prompting, evaluation and quality loops) and the human-in-the-loop processes around them.

Your success is measured by the speed of generating content across several languages and by content quality.

A Role That Grows With You

Babbel Labs owns the full arc of how people learn a language, and our senior PMs grow by expanding across it. Starting from AI Content Generation, your ownership can deepen or extend into other areas, such as conversational AI, adaptive learning, and scaling.

Where you grow depends on where you do your best work — and we invest in getting you there. If expanding your craft across these spaces sounds energising, you will have a very good time here.

Responsibilities

• Own the product vision, strategy, and roadmap for AI content generation.
• Translate learners and reviewers needs, expert feedback, and business priorities into clear product opportunities, hypotheses, and initiatives.
• Lead the creation, improvement and scaling of AI generation workflows, including prompting, evaluation, and quality loops, to enable faster creation of new languages, levels, and learning content.
• Define what good generated content looks like and how it is evaluated, together with language experts and reviewers.
• Enable faster creation of new languages, levels, and learning content.
• Balance automation and quality, evolving human-in-the-loop processes where needed.
• Define success metrics and evaluate performance. Use quantitative data, qualitative research, competitive insights, learners insights, and reviewers feedback to guide prioritisation and decisions.
• Make clear prioritisation calls and manage trade-offs between learner value, business impact, technical feasibility, and speed.
• Partner closely with Engineering, Learning Content, Design, Data, and other Product Managers to align around a shared direction and deliver from discovery through launch and iteration.
• Communicate direction, evidence, decisions, and trade-offs clearly to senior stakeholders and cross-functional teams.
• Pick up the scope the company needs next — including delivery-heavy work such as platform expansion or subscriber migration — and run it with the same rigour.
• What You Bring
• 5+ years as a Product Manager building complex digital products.
• Hands-on experience building and shipping at least one generative AI product, where GenAI is the core of the functionality, not a feature added on top. You can follow a technical design discussion on prompts, models, evaluation and pipelines, and challenge it. You do not need to code.
• Experience working closely with engineers, experts, and data teams.
• Strong product judgment, a high bar for quality and a sharp focus on user outcomes, with genuine comfort in ambiguous, fast-evolving problem spaces — including deciding without complete information and changing your mind when the evidence moves.
• Excellent communication and stakeholder-alignment skills, including partnering closely with engineering leadership.
• Proactive, flexible, and curious, with the ability to drive progress from insight to execution.
• An AI-first way of working. You already use AI agents throughout your own PM practice — drafting and evolving requirements, analysing data and user feedback, prototyping ideas yourself — not just for summaries and notes. Enthusiasm and demonstrated adoption matter more than knowing our specific tools.
• Nice to have: a track record of shipping at scale, to hundreds of thousands of active users or more.
• Nice to have: exposure to learning products, localisation, or content and knowledge systems.

Benefits

• Work on a mission-driven product with global impact.
• Shape how AI is used responsibly in education.
• Collaborate with experienced product, engineering, and language experts.
• Flexible working models, learning budgets, and free language learning.
• An inclusive, supportive environment that values curiosity and growth.