
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.
🕒 vor 11 Tagen
🇺🇸 Vereinigte Staaten – Remote
💵 $151.900 - $238.700 / Jahr
⏰ Vollzeit
🟠 Senior
✅ Produktmanager
🦅 H1B-Visum-Sponsor
👻 Geisterscore 0%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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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.
• Own Person Data strategy, roadmap, monthly priorities, outcomes, and metrics for accuracy, coverage, freshness, and compliance • Partner with Person Data product management, Privacy, Trust, Identity engineering, and cross-functional teams to deliver the roadmap • Build and run the AI evaluation engine, defining correctness, curating golden sets and trap records, establishing LLM-as-judge gates and confidence thresholds, and tracking precision, recall, and production drift • Drive the transition from deterministic selection rules to agent-based inference over full evidence • Write agent policy clauses, research grading guides, and pipeline acceptance rules; prove changes in shadow mode and retire legacy logic when safe • Introduce AI and classical tooling appropriately while considering cost per row, latency, determinism, and auditability • Own entity-resolution problems including person-to-company matching, wrong-company links, duplicate people, and cross-source identity • Own the privacy roadmap for person data, including suppression, opt-out, and notification, with Legal and Privacy • Prototype adjudication agents, evaluations, and analyses in code with AI engineering and data science; use Claude and agentic tooling daily • Drive cross-functional execution across engineering, Match, Research, Data Science, Web Data acquisition, Privacy, and application teams • Communicate roadmap rationale to product and data leadership and write release notes and customer-facing narratives with Product Marketing • Report to the Senior Manager of Product for Core Data within the Core and Global Data organization under the Chief Data Officer
• 8+ years of product management experience, with meaningful time owning data products or data platforms at scale • Hands-on experience with data pipelines, ideally incremental or streaming rather than batch rebuilds • Working understanding of how records move from ingestion through processing to a served dataset • Direct experience with entity resolution, record linkage, or matching systems • Demonstrated, current use of AI to improve data systems, including bringing an LLM into a production data process • Experience designing evaluations for model output, including golden sets, precision and recall, LLM-as-judge, human-in-the-loop routing, and production drift monitoring • Comfort working in code, including reading a pipeline, writing a prompt and validator, running analysis in SQL or Python, and committing alongside engineers • Experience partnering closely with engineering and data science on complex, data-intensive systems • Track record of influencing technical direction without formal authority • Strong bias for action and ability to drive focus and finish work in a fast-moving, ambiguous, and frequently chaotic environment • Excellent written and verbal communication • Preferred: experience with contact, person, identity, or B2B company data • Preferred: familiarity with GDPR, CCPA, DNC, and international notification regimes • Preferred: experience with Claude or comparable frontier models, agent frameworks, and eval harnesses • Preferred: background at an AI research lab or AI-native data company
• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being • Additional compensation such as Bonus, Commission, Equity and other benefits may also apply
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