Product Manager - AI & Data Science
Meltwater
Job Overview
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Job Description
What We’re Looking For:
We’re looking for a Product Manager - AI & Data Science to help drive Meltwater’s next-generation AI enrichment capabilities — including categorization, sentiment, topics, narratives, and emerging LLM-based features.
You’ll work closely with the Product Lead for Enrichments & Automation to translate data science developments into real product improvements and customer value. Your focus will be on understanding model behavior, defining quality measures, and providing insights that guide prioritization, product improvements, and quality decisions across our enrichment portfolio.
This role is well-suited for someone who enjoys both the technical side of applied AI and the product thinking required to turn models into meaningful user outcomes.
What You'll Do:
- Help define and prioritize enrichment improvements based on product strategy and customer impact.
- Translate model capabilities into product value by understanding where enrichment quality matters most in customer workflows.
- Collaborate with Data Scientists to turn experiments and research findings into clear product iteration plans.
- Monitor quality and usage: Design and maintain dashboards and evaluation frameworks that track performance, adoption, and impact.
- Support rollouts and internal understanding through clear documentation, release notes, and internal enablement for teams that rely on enrichment outputs.
What You'll Bring:
- 4+ years of experience in Product, Data, or Applied ML/NLP roles working with structured data or enrichment models.
- Strong customer-centric mindset: You care how models perform in real workflows, not just in benchmark tests.
- Ability to turn complexity into clarity: You can turn abstract or technical concepts into clear product decisions and requirements.
- Collaboration & coordination strengths: You work effectively across Data Science, Engineering, and customer-facing Product Managers - aligning priorities and enabling others to build value on top of the platform.
- Awareness of the evolving AI landscape: You stay informed about LLMs and enrichment techniques and can distinguish practical value from hype.
- Analytical and evaluation fluency: You are comfortable evaluating model performance and making trade-offs on quality, coverage, and scalability.
- Clear communication and narrative framing: You can explain why improvements matter, not just how they work, to stakeholders across product, GTM, and engineering.
Nice to Have:
- Experience with NLP tasks like sentiment, entity extraction, or classification.
- Exposure to LLM evaluation or prompt design.
- Experience working with multilingual datasets.
- Familiarity with media intelligence, social listening, or analytics platforms.
What We Offer:
- Enjoy 26 days of annual paid time off plus an additional day off on your birthday!
- Enjoy national and global health coverage through our statutory health insurance, ensuring your well-being wherever you are.
- Benefit from a 30% employer contribution to our Company Pension scheme (BAV).
- Enjoy an additional day off on your birthday, promoting a healthy work-life balance.
- Complimentary CalmApp subscription for you and your loved ones because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Benefit from our family leave program, which grows with your tenure at Meltwater.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Where You'll Work:
Jannowitz Centre, Brückenstrasse 6, 10179 Berlin, Germany
Key skills/competency:
- Product Management
- AI
- Data Science
- NLP
- LLM
- Model Evaluation
- Customer Workflows
- Prioritization
- Data Analysis
- Stakeholder Collaboration
How to Get Hired at Meltwater
- Research Meltwater's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in AI/ML product management, data science, and NLP specifically for Meltwater.
- Showcase AI/Data Science projects: Prepare to discuss your impact on real customer workflows with AI models.
- Emphasize collaboration and communication: Illustrate how you bridge gaps between data science, engineering, and product teams effectively.
- Demonstrate AI landscape awareness: Discuss your understanding of LLMs and practical application of emerging techniques for Meltwater.
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