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  • Posted: Feb 11, 2026
    Deadline: Not specified
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  • Meltwater helps companies make better, more informed decisions based on insights from the outside. We believe that business strategy will be increasingly shaped by insights from online data. Organizations will look outside, beyond their internal reporting systems to a world of data that is constantly growing and changing. Our customers use these insights to ...
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    Product Manager - AI & Data Science

    What We’re Looking For:

    • 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.

    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.
       

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    Product Manager - Unified Entity Layer

    What We’re Looking For:

    • We’re looking for a Product Manager to lead the evolution of our core data foundation — the structured layer that connects and contextualizes information across Meltwater’s ecosystem.
    • You’ll shape and expand the semantic models that ensure key entities (such as organizations, channels, themes, etc.) are consistently identified and linked across our products. Your work will enable more meaningful insights, better discovery, and clearer understanding for our users by making data relationships transparent, reliable, and easy to work with.
    • This role sits at the intersection of data architecture, enrichment, and product experience, translating complex data structures into intuitive, high-value capabilities for customers.

    What You'll Do:

    • Own and evolve the core entity data model that connects key entities across our products (e.g., organizations, sources, themes).
    • Unify and standardize datasets to reduce duplication and improve consistency and data reliability.
    • Define how entities are identified, matched, and maintained, combining automated methods with human review where needed.
    • Work closely with AI & Enrichment teams to ensure entity context improves classification, sentiment, topics, and narrative understanding.
    • Collaborate with Search & Retrieval teams to ensure fast, reliable entity-aware search and filtering experiences.
    • Set and monitor data quality measures, and drive ongoing improvements in accuracy, coverage, and consistency.

    What You'll Bring:

    • 4 years+ in Product Management working with data-heavy systems - for example, data platforms, ML/NLP enrichment systems, or large-scale information architectures.
    • Customer value mindset: You understand how foundational data capabilities power end-user workflows, and you work closely with customer-facing PMs to translate platform capabilities into meaningful product improvements and outcomes.
    • Comfort working across teams: You collaborate confidently with engineering, data science, and other product teams.
    • Structured thinking: You enjoy making sense of complex data and building clear frameworks instead of isolated features.
    • Excellent communication skills: You can effectively translate data structure concepts into tangible product value for both internal and external stakeholders.
    • Strong technical understanding of structured data, APIs, and data modeling (you can converse comfortably with engineers and data scientists).
    • Experience working with entity models or structured data relationships (e.g., knowledge graphs, taxonomies, or similar systems) and how they help with search, discovery, or interpretation of information.

    Nice to Have

    • Experience with graph databases
    • Experience in NLP, entity recognition, or data linking.
    • Familiarity with data quality, enrichment, or ETL workflows.
    • Background in semantic modeling or data unification.
    • Exposure to media intelligence, social listening, or marketing analytics environments.
       

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    Account Manager

    What We’re Looking For:

    • Are you an attentive Account Manager with experience in serving SaaS customers? We're actively seeking professionals like yourself to join our dynamic team and take charge of managing, renewing, and driving growth for our valued accounts. As an Account Manager, you'll play a crucial role in nurturing existing client relationships and maximizing their potential.
    • Meltwater offers more than employment—it's a voyage towards personal and professional advancement. Immerse yourself in an atmosphere that nurtures your skills, encourages mentorship, and champions inclusive leadership practices. Interact with experienced account managers and resilient leaders who are dedicated to supporting your growth journey.
    • Join our team, where you'll be embraced by a diverse community that honors your individual contributions and propels you toward realizing your full potential.

    What You'll Do:

    • Manage, renew, and grow a portfolio of accounts after their handover from the Client Acquisition team.
    • Drive sustainable long-term revenue growth, leveraging support from our Customer Success, Renewals, and Business Development teams.
    • Take ownership of the sales cycle within your accounts including upselling, cross-selling, and contract negotiations.
    • Develop strategic account plans tailored to individual customer goals, with a clear focus on retention and expansion.
    • Conduct targeted outreach initiatives and capitalize on the momentum generated by our proactive Marketing and Business Development teams.
    • Meet or exceed quarterly sales quotas by identifying and prioritizing high-potential opportunities within your book of business.
    • Deliver compelling product demonstrations and persuasive sales presentations that communicate clear, tailored value.
    • Collaborate closely with the Customer Success team to drive product adoption, satisfaction, and usage.
    • Partner with Renewals Representatives to ensure strong account retention and navigate pricing discussions effectively.
    • Monitor usage patterns to anticipate renewal risks and expansion opportunities.
    • Implement structured sales processes to counter competitive threats and increase customer lifetime value.

    What You’ll Bring:

    • A Bachelor's degree or higher is preferred.
    • A minimum of 4 years’ experience in account management, with at least 2–3 years in business-to-business sales ideally in the software or SaaS space.
    • A proven track record of exceeding sales targets and driving customer growth.
    • Strong negotiation and communication skills, with the ability to clearly articulate complex value propositions and contract terms.
    • A strategic mindset with the ability to develop and execute effective account growth plans.
    • Demonstrated ownership of accounts, with a proactive approach to lead generation and revenue expansion.
    • Excellent organizational skills and the ability to manage multiple accounts, renewal cycles, and sales activities simultaneously.
    • Strong collaboration skills to partner effectively with Customer Success, Marketing, and Sales teams.
    • Excellent verbal and written communication skills in English.
    • Willingness to work in a hybrid setup: 3 days in the office per week.
    • Legal right to work in the country of hire.

    Method of Application

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