via ats_lever · 12. Mai 2026 ·vor 32 Tagen

Market Intelligence Manager (d/f/m)

vivenu
Düsseldorf Vollzeit
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Redefine the future of live entertainment tech

Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms. We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage. Backed by over $65 million in funding, our platform empowers event organizers to own their brand experience, unlock deep data insights, and seamlessly integrate ticketing into their digital infrastructure.

With six offices worldwide and growing, we deliver a customizable, intuitive solution and industry-leading support that simplify even the most complex ticketing challenges – helping organizers deliver exceptional experiences and drive real growth.

Join us and build the future of live entertainment.

As Market Intelligence Manager (d/f/m) your responsibilities will include:

  • Design and maintain the Vertical Intelligence Briefing format, providing Sales with deep-dive competitive and market insights to win specific industries

  • Build and manage the vivenu Economics Database, tracking industry-wide financial trends and competitor metrics to keep our positioning sharp

  • Develop and scale Vertical-Specific ROI Calculators—turning complex platform and product data into interactive, client-facing artifacts that prove financial value

  • Extract insights from internal platform and product data, translating technical findings into "marketing-fluent" narratives that the Sales team can use in high-stakes pitches

  • Act as the primary support function for Marketing and Sales, ensuring that go-to-market strategies are grounded in real-world economic data and product usage patterns
We are looking for candidates that
  • bring experience in a data-centric role within a B2B SaaS environment, with a deep understanding of platform and product data structures.

  • have the ability to translate complex data sets into persuasive, non-technical narratives and client-ready artifacts.

  • efficiently leverage AI tools and automation technologies to streamline repetitive tasks, improve workflows, and increase operational efficiency

  • are comfortable building the logic behind robust ROI calculators and economic databases.

  • are self-directed and capable of managing the end-to-end lifecycle of a project—from data extraction to the final "deck-ready" insight.

  • bring strong understanding of vertical-specific economics and how to quantify the value proposition of a technical product for different types of buyers.

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