Senior Product Manager (AI Data Foundation)

ZoomInfo; Waltham (MA); Presencial; USD 180.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Benefits program overview

Equity/RSUs

Hybrid working model

Bonuses

Vacation & Time Off

Descripción de la vacante

ZoomInfo seeks a Sr Product Manager, AI Data Foundation to own data quality monitoring, self-service reporting, and the internal Data Tools platform. You will shape the product strategy across data quality, tooling, and AI-driven enhancements to scale data teams and improve data health.

You will collaborate with data engineers, data scientists, and product managers to deliver AI-powered automation and governance capabilities, ensuring proactive improvements and broad adoption across data

Formación

• 5+ years of product management experience with a focus on data products, platforms, internal tooling, or data-intensive B2B SaaS.
• Strong analytical skills with ability to define metrics, analyze data, and make data-driven decisions.
• Strong understanding of data quality frameworks, metrics, anomaly detection, and scalable monitoring systems.
• Demonstrated experience building data quality, monitoring, observability, or self-service analytics products.
• Experience with data observability, data catalog, or data governance platforms.

Responsabilidades

• Own end-to-end product strategy for data quality monitoring, self-service reporting, and internal Data Tools platform.
• Define and standardize metrics and KPIs for data quality, coverage, accuracy, and freshness across data domains.
• Build and deliver self-service dashboards and reporting tools with real-time data health visibility.
• Identify, prioritize, and ship AI-driven data quality enhancements and auto-remediation capabilities.
• Partner with engineering and data science to develop AI-powered solutions for anomaly detection and self-healing data pipelines.
• Drive adoption of new tooling through evangelism, documentation, and enablement.
• Manage dependencies across data domains to ensure quality monitoring integrates with upstream and downstream systems.

Conocimientos

Product management

Data platforms

Internal tooling

Data quality

B2B SaaS

Data observability

AI/ML product

Data governance

Communication

PRD writing

Analytics

Herramientas

dbt

Snowflake

Databricks

Fivetran

Descripción del empleo

• ZoomInfo is seeking a Sr Product Manager, AI Data Foundation to own our data quality monitoring platform, self-service reporting capabilities, and the internal tooling that powers data research and analysis across the organization
• In this role, you’ll work at the intersection of AI, data quality, and platform product management - building systems that make ZoomInfo’s data teams faster, smarter, and more proactive
• The Sr PM, AI Data Foundation will be an evangelist and builder, not a reactive order-taker
• You’ll see across the full data portfolio, identify opportunities for extreme leverage, and drive AI-enabled solutions for data quality enhancement and self-remediation
• This role is critical to ZoomInfo’s ability to scale data quality at speed and empower teams with the tooling they need to move faster
• Own end-to-end product strategy for data quality monitoring, self-service reporting, and the internal Data Tools platform
• Proactively identify opportunities across the data portfolio where tooling and automation can create extreme leverage for data teams, PMs, and analysts
• Define and standardize metrics and KPIs for data quality, coverage, accuracy, and freshness across all data domains
• Build and deliver self-service dashboards and reporting tools that give stakeholders real-time visibility into data health
• Identify, prioritize, and ship AI-driven data quality enhancements and auto-remediation capabilities that reduce manual intervention at scale
• Own the internal Data Tools roadmap, delivering tooling that meaningfully improves productivity for data researchers, analysts, and product managers
• Partner with engineering and data science to develop AI-powered solutions for anomaly detection, root cause analysis, and self-healing data pipelines
• Drive adoption of new tooling across data operations, engineering, and PM teams through evangelism, documentation, and enablement
• Manage dependencies across data domains to ensure quality monitoring integrates seamlessly with upstream and downstream systems
• Conduct discovery with internal stakeholders to uncover true tooling and workflow pain points beyond surface-level feedback

Benefits

• Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
• Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
• Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
• Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
• Vacation & Time Off - We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
• Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

• 5+ years of product management experience with a focus on data products, platforms, internal tooling, or data-intensive B2B SaaS
• Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
• Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale
• B2B SaaS experience, preferably in data platforms, developer tools, or data operations
• Demonstrated experience building data quality, monitoring, observability, or self-service analytics products
• Ability to solve complex technical problems in partnership with engineering and data science teams
• Proactive orientation - demonstrated ability to identify leverage opportunities across a portfolio, not just respond to inbound requests
• Platform and tooling product mindset with experience driving adoption across diverse internal user bases
• Excellent communication skills with ability to translate complex technical concepts for diverse audiences and write clear PRDs
• Proven ability to identify and ship AI/ML-powered product capabilities, particularly applied to data quality, automation, or workflow tooling
• Experience with data observability, data catalog, or data governance platforms
• Background in data engineering, analytics engineering, or data science prior to product management
• Familiarity with modern data stack tooling (dbt, Snowflake, Databricks, Fivetran, etc.)
• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications
• Experience building AI-powered automation or self-remediation capabilities