Principal Product Manager – Vertical Data

🕒 vor 8 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $151.900 - $238.700 / Jahr

⏰ Vollzeit

🔴 Experte

✅ Produktmanager

🦅 H1B-Visum-Sponsor

infoinfo

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of ZoomInfo

ZoomInfo

1001 - 5000 Mitarbeiter

💼 Beratung

📣 Marketing

☁️ SaaS

💰 Private Equity Round im 2014-04

Consulting • Marketing • SaaS

ZoomInfo ist ein führender Anbieter von Go-to-Market-Intelligence-Lösungen für Verkaufs- und Marketingfachleute. Die Plattform bietet umfassende Datenanalysen und Einblicke, um Unternehmen dabei zu helfen, Zielgruppen zu identifizieren, Kundenbeziehungen zu verwalten und das Umsatzwachstum zu fördern. Durch den Einsatz fortschrittlicher Technologien und umfangreicher Datenbanken ermöglicht es ZoomInfo Organisationen, ihre Verkaufsstrategien zu optimieren und die betriebliche Effizienz zu steigern.

Beschreibung

• Own vertical datasets end to end, including sourcing, development, entity resolution, delivery, pricing, packaging, and revenue generation • Define dataset audiences, coverage, accuracy, quality standards, and completion criteria • Partner with data engineering and platform engineering to deliver datasets from the warehouse to the GTM Data Store, APIs, MCP, and applications • Write requirements, define use-case queries, own testing, and drive handoffs • Own pricing and packaging, including price-book placement, licensing models, supplemental terms, and bundling • Enable product-led and sales-led commercialization through in-product discoverability, sales materials, data reference guides, use cases, positioning, and sales support • Work directly with strategic customers and sales teams to understand needs and shape datasets and offers • Build vertical solutions and workflows by packaging datasets together • Coordinate data quality, engineering delivery, pricing, legal terms, and marketing across teams • Prioritize dataset investment based on revenue potential, customer demand, and core-data value • Feed customer and delivery learnings back into future product development

🎯 Anforderungen

• Commercially minded; understands products in terms of who pays and why • Experience owning a number or working closely enough with one to influence prioritization • Heavy customer-facing background in enterprise product management, solutions consulting, professional services, or a customer-facing data-company role • Experience building data solutions from multiple datasets into products or workflows for specific markets • Experience ideally in financial services, insurance, or another data-heavy vertical • Broad product management experience spanning discovery, requirements, engineering collaboration, launch, enablement, pricing, and shipping across multiple teams • Proficiency with SQL • Understanding of entity resolution and tradeoffs between coverage, accuracy, and freshness • Experience with B2B data, data licensing, or data-as-a-service is a strong plus • Experience with public records, regulatory filings, or vertical-specific data sources is a plus • Ownership and urgency • Proficiency with AI tooling, including Claude Code or similar tools

🏖️ Vorteile

• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being • Additional compensation may include bonus, commission, and equity

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