Principal Product Manager – Vertical Data

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $151 900 - $238 700 / an

⏰ Temps Plein

🔴 Expert

✅ Responsable Produit

🗣️🇺🇸🇬🇧 Anglais requis

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ZoomInfo

1001 - 5000 employés

💼 Conseil

📣 Marketing

☁️ SaaS

💰 Private Equity Round en 2014-04

Consulting • Marketing • SaaS

ZoomInfo est un fournisseur de premier plan de solutions d'intelligence de marché pour les professionnels de la vente et du marketing. La plateforme offre des insights et des analyses de données complètes pour aider les entreprises à identifier leurs publics cibles, gérer leurs relations clients et stimuler la croissance des revenus. En utilisant des technologies avancées et des bases de données étendues, ZoomInfo permet aux organisations d'optimiser leurs stratégies de vente et d'améliorer leur efficacité opérationnelle.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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