Product Manager, Meltwater

• 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

Desirable

• We’re looking for a Product Manager 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
• 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