# Senior Product Manager, AI Data Foundation

**Company**: ZoomInfo
**Location**: Waltham, Massachusetts, United States
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $126,000-$198,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zoominfo/jobs/8568079002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b2cfe67f-4a9

## Description

We're seeking a Senior 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 organisation.

As a key member of our team, 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.

In this role, you'll 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.

### Responsibilities

- 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, prioritise, 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

### Requirements

- 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, analyse 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

### 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

### Compensation

The actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience, and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

In addition to comprehensive benefits, we offer holistic mind, body, and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

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

## Skills

### Required
- data quality
- self-service reporting
- internal tooling
- AI/ML-powered product capabilities
- data quality frameworks
- metrics
- anomaly detection
- data governance platforms
- data engineering
- analytics engineering
- data science
- platform and tooling product mindset
- complex technical problems
- communication skills
- proactive orientation

### Nice to have
- data observability
- data catalog
- modern data stack tooling
- AI-powered automation
- self-remediation capabilities

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zoominfo/jobs/8568079002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)