# Senior Product Manager, AI Data Foundation

**Company:** [ZoomInfo](https://hotfix.jobs/companies/zoominfo)
**Location:** Waltham, MA
**Role:** Product Management
**Salary:** $126k – $198k/yr
**Experience:** 5+ years
**Skills:** Data Quality, Data Monitoring, Self-Service Analytics, AI/ML, Data Quality Frameworks, Anomaly Detection, dbt, Snowflake, Databricks, Fivetran
**Posted:** 2026-06-01

> The Senior Product Manager, AI Data Foundation will own the data quality monitoring platform, self-service reporting, and internal tooling. This role focuses on building AI-enabled solutions for data quality enhancement and self-remediation.

## Job Description

## What You'll Do (Essential Functions)

* 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

## What You Bring
### Required Qualifications

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

### Preferred Qualifications

* 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.)
* Experience building AI-powered automation or self-remediation capabilities
* Knowledge of data privacy regulations (GDPR, CCPA) and their product implications

## Compensation

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$126,000—$198,000 USD

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