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This one is closed. We stopped seeing it on Babbel’s board 1 h ago. 11 other openings there are still up.
1 h ago
Senior Product Manager - AI Content Creation (all genders)
What the posting is about
Own AI content generation, balance automation and quality, collaborate cross-functionally to deliver learning experiences at Babbel Labs, Berlin. Grow across various AI and learning areas.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationBerlin
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-14
Found viaashby, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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 are joining to own AI Content Generation — how our language experts' way of teaching turns into learning content for every language combination with the help of AI. Your success is measured through speed on generating content across several languages and 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 your area.
- Translate learners and reviewers needs, expert feedback, and business priorities into clear product opportunities, hypotheses, and initiatives.
- Create, improve and scale AI generation workflows, including prompting, evaluation, and quality loops.
- 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.
- Solid understanding of AI-powered systems and how they are built: 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 and genuine comfort in ambiguous, fast-evolving problem spaces — including deciding without complete information and changing your mind when the evidence moves.
- A high bar for quality and a sharp focus on user outcomes.
- 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: experience building generative AI products.
- 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.
Copied from Babbel’s own board, not rewritten. Original ↗
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