---
title: 'Senior Product Manager - AI Content Creation (all genders) at Babbel'
canonical: 'https://feeny.ai/job/senior-product-manager-ai-content-creation-all-genders-babbel-berlin-rvc10tsvjw6q'
type: 'job'
last_seen: '2026-11-03'
---

# Senior Product Manager - AI Content Creation (all genders) at Babbel

- **Company:** Babbel
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.ashbyhq.com/babbel/b47063db-27c9-465c-b4d5-ed447feaf48a/application

**Skills:** AI systems, Product management, Prompting, Evaluation, Quality loops, AI product building

> Lead the evolution of AI-driven content generation capabilities for Babbel Labs, focusing on scalable systems that enable new language creation while maintaining pedagogical quality. Own product strategy from discovery to execution, balancing automation with human-in-the-loop processes.

## Job 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.

## What You Will Do

- 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.

## Why Join Babbel Labs

- 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.

Diversity at Babbel As part of our ongoing journey towards building a diverse, equitable, and inclusive company, we welcome everyone to apply, especially individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the requirements — all candidates are assessed based on skills, qualifications, and our business needs. Please state your pronouns in your application, and let us know if you'd like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us so we can provide proper assistance in the application process.

## About Babbel

## Company Overview
- **One-liner**: Babbel is a subscription-based language learning platform that offers self-paced lessons, live classes, and AI-powered conversation practice across 14 languages.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Berlin, Germany (with an office in New York City, USA)
- **Founded**: 2007
- **Founders**: Thomas Holl, Markus Witte, Lorenz Heine, Toine Diepstraten

## Core Business
- **Primary industry**: E-Learning / Language Education
- **Target customers**: B2C (individual learners) and B2B (Babbel for Business for corporate training)
- **Mission or purpose statement**: “Creating mutual understanding through language”

## Products & Services
- **[Babbel App](https://www.babbel.com/)**: Award-winning self-study app with over 60,000 lessons in 14 languages. Includes speech recognition, interactive dialogues, and progress tracking.
- **[Babbel Live](https://www.babbel.com/live)**: Instructor-led live group classes for real-time conversation practice.
- **[Babbel Speak](https://www.babbel.com/speak)**: AI-powered conversation partner that guides users through realistic scenarios without pressure.
- **[Babbel for Business](https://www.babbel.com/business)**: Corporate language training solution for teams and enterprises.
- **[Babbel Podcasts & Magazine](https://www.babbel.com/magazine)**: Free cultural and language‑learning content, including podcasts and articles.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Over 25 million subscriptions sold; 1,299 total employees (per Built In)
- **Notable Investors/Partners**: Not disclosed in sources consulted
- **Growth Signals**:
  - Named to GSV 150 list of most transformational digital learning companies (2025)
  - Fast Company’s Most Innovative Language Learning Company (2023)
  - 92% of users improved proficiency in 2 months (internal study)
  - Proven effectiveness studies with Yale University, City University of New York, and Michigan State University
  - Employee base of 1,000+ representing 80+ nationalities

## Competitive Advantages
- **Content moat**: All lessons created in‑house by 200+ linguists, ensuring high quality and pedagogical rigor.
- **Proven methodology**: Backed by academic studies showing real‑world speaking confidence.
- **AI integration**: Babbel Speak offers stress‑free, AI‑driven conversation practice, blending technology with human expertise.
- **First‑mover**: Pioneered online language learning in 2007 and remains one of the most recognized brands in the space.

## Strategic Focus
- Expanding AI capabilities (Babbel Speak) to personalize and accelerate learning.
- Growing B2B segment (Babbel for Business) and live class offerings.
- Deepening content library across 14 languages and all proficiency levels.
- Maintaining leadership in digital learning innovation (consistent awards and recognitions).

## Why Work Here
- **Culture**: Diverse, international team (80+ nationalities) based in Berlin and New York. Emphasis on mutual understanding and inclusion.
- **Work policy**: On‑site presence expected (offices in Berlin and NYC); not fully remote.
- **Employee ratings**: 3.5/5 on LinkedIn (Work‑Life: 4.4, Culture: 3.8, Compensation: 3.0, Career: 3.3).
- **Notable perks**: Opportunity to work on a mission‑driven product used by millions; access to language learning resources; modern offices in central locations.

## Sources
1. [Babbel Careers](https://jobs.babbel.com/en)
2. [Babbel About Us](https://www.babbel.com/about-us)
3. [Babbel LinkedIn](https://www.linkedin.com/company/babbel-com)
4. [Built In Babbel Profile](https://builtin.com/company/babbel)
5. [Babbel Homepage](https://www.babbel.com/)

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