ZoomInfo Technologies LLC
Technology
SeniorProductManager,AIDataFoundation
“Senior Product Manager, AI Data Foundation at ZoomInfo Technologies LLC. Skills: AI Data Foundation, Data quality monitoring, Internal tooling. Own end-to-end product strategy. Proactively identify opportunities”
What You'll Achieve.
Reduce manual intervention at scale; Improve productivity for data researchers; Improve productivity for analysts; Improve productivity for product managers
Industry & Context.
Solve complex technical problems; Root cause analysis; Self-healing data pipelines
What They're Looking For.
Must Have
5+ years product management experience, Focus on data products, Focus on platforms, Focus on internal tooling, Focus on data-intensive B2B SaaS, Experience building data quality products, Experience building monitoring products, Experience building observability products, Experience building self-service analytics products, Identify and ship AI/ML-powered product capabilities, Understanding of data quality frameworks, Understanding of data quality metrics, Understanding of anomaly detection, Understanding of data monitoring systems, Platform product mindset, Tooling product mindset, Drive adoption across diverse internal user bases, Analytical skills, Independently define metrics, Analyze data, Make data-driven decisions, Solve complex technical problems, Translate complex technical concepts, Write clear PRDs, Identify leverage opportunities across a portfolio, B2B SaaS experience, Data platforms experience, Developer tools experience, Data operations experience
Nice to Have
Experience with data observability platforms, Experience with data catalog platforms, Experience with data governance platforms, Background in data engineering, Background in analytics engineering, Background in data science, Familiarity with modern data stack tooling, Experience building AI-powered automation, Experience building self-remediation capabilities, Knowledge of data privacy regulations
What You'll Do.
Own end-to-end product strategy
Proactively identify opportunities
Define and standardize metrics
Build and deliver self-service dashboards
and ship AI-driven enhancements
Own the internal Data Tools roadmap
Partner with engineering and data science
Drive adoption of new tooling
Manage dependencies across data domains
Conduct discovery with internal stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Data science teams; Data operations teams; PM teams
Communication Scope
Translate technical concepts; Write PRDs
Process & Methodology
Roadmap
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