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ZoomInfo Technologies LLC

Principal Product Manager, AI Evaluation and Data Policy

Salary$152k – $239k
LocationWaltham, Massachusetts, United States
Work moderemote
Typefull-time
SeniorityLead
Experience8+ yrs
Department909 Product Management - Data
EquityIncluded
Company size1,001–5,000 people
PostedJul 15, 2026 · 2mo ago
Verified live4h ago
At a glanceSummarised by Seekless from the posting.
Must have5
8+ years of product management experience, with meaningful time owning data products or data platforms at scale
Hands-on experience with data pipelines and a working understanding of how records move from ingestion through processing to a served dataset
Direct experience with entity resolution, record linkage, or matching systems, including canonical IDs, match confidence, survivorship rules, and precision/recall trade-offs
Demonstrated, current use of AI to improve data systems in production, with the ability to describe how you kept accuracy from degrading
Experience designing evaluations for model output, including golden sets, precision and recall, LLM-as-judge, human-in-the-loop routing, and production drift monitoring
Nice to have4
Experience with incremental or streaming data pipelines, rather than batch rebuilds
Experience with contact, person, or identity data, or with B2B company data
Familiarity with privacy regulation as it applies to published personal data (GDPR, CCPA, DNC, and international notification regimes)
Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses
About the company
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
About the role
ZoomInfo’s Core Data team builds the person and company data that powers our Go-To-Market Intelligence Platform, and we’re rebuilding how that data gets made. We’re moving from deterministic selection rules to an inference-default model where agents read the evidence and propose answers, and where evaluation — not hand-built logic — decides what ships. We’re hiring a Principal Product Manager to own Person Data outcomes end to end and to build the AI evaluation discipline the whole team will run on.
What You’ll Do
•
Own Person Data end to end, setting the strategy, roadmap, and monthly priorities for contact accuracy, coverage, freshness, and compliance, from cleaning up bogus executive contacts to leadership extraction and person location
•
Build and run the AI evaluation engine: define what “correct” means per attribute, curate golden sets with the research team, stand up LLM-as-judge gates, and set confidence thresholds for auto-accept, auto-reject, and human adjudication
•
Lead the pivot from rules to agents by writing the policy clauses agents follow, proving each step in shadow mode against the gold set, and retiring legacy selection logic once the data supports it
•
Decide where AI earns its place in the pipeline and where classical tooling wins, reasoning explicitly about cost per row, latency, determinism, and auditability
•
Tackle entity resolution as the hard core of the problem, bringing a clear model for canonical identity, match confidence, and the cost asymmetry between false merges and missed matches
•
Own the privacy roadmap for person data, including suppression, opt-out, and notification, in partnership with Legal and Privacy
•
Prototype adjudication agents and evaluations in code alongside the AI engineer and data science team, committing directly to the shared repository
•
Act as the hub across Person Data engineering, Match, Research, Data Science, Web Data acquisition, and Privacy, and represent the roadmap clearly to product and data leadership
What You Bring
Must-Have
•
8+ years of product management experience, with meaningful time owning data products or data platforms at scale
•
Hands-on experience with data pipelines and a working understanding of how records move from ingestion through processing to a served dataset
•
Direct experience with entity resolution, record linkage, or matching systems, including canonical IDs, match confidence, survivorship rules, and precision/recall trade-offs
•
Demonstrated, current use of AI to improve data systems in production, with the ability to describe how you kept accuracy from degrading
•
Experience designing evaluations for model output, including golden sets, precision and recall, LLM-as-judge, human-in-the-loop routing, and production drift monitoring
Nice to have
Preferred
•
Experience with incremental or streaming data pipelines, rather than batch rebuilds
•
Experience with contact, person, or identity data, or with B2B company data
•
Familiarity with privacy regulation as it applies to published personal data (GDPR, CCPA, DNC, and international notification regimes)
•
Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses
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. We want our employees and their families to thrive.
Benefits
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.
$151,900—$238,700 USD
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
Legal
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
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