Principal Product Manager, AI Evaluation and Data Policy
Company websitezoominfo.com (ZoomInfo Technologies LLC, opens in new tab)
Base salary $151,900 to $238,700
Employer-published annual base salary, USD. Advertised base range in Waltham, MA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationWaltham, MA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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.
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
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
#LI-Hybrid
#LI-VC1
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.
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), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.
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.
Source: ZoomInfo Technologies LLC on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($151,900) is above 60% of the 183 Product roles in Massachusetts listed on this site. Their median floor is $141,000; the middle half runs from $120,000 to $170,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingPrincipal Product Manager, AI Evaluation and Data Policy$151,900 to $238,700
Director, Strategic Technology & ISV Partnerships$150,000 to $227,500
Senior Principal Demand Generation - Expansion$150,850 to $237,050
Principal Product Manager - Vertical Data$151,900 to $238,700
Director, Corporate Tax$154K to $242K
Senior Employment Counsel$154K to $242K
Senior Manager, GTM Customer Success$155K to $175K
Chart as a table
| Role | Published base |
|---|---|
| Principal Product Manager, AI Evaluation and Data Policy (this listing) | $151,900 - $238,700 |
| Director, Strategic Technology & ISV Partnerships | $150,000 - $227,500 |
| Senior Principal Demand Generation - Expansion | $150,850 - $237,050 |
| Principal Product Manager - Vertical Data | $151,900 - $238,700 |
| Director, Corporate Tax | $154K - $242K |
| Senior Employment Counsel | $154K - $242K |
| Senior Manager, GTM Customer Success | $155K - $175K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-07-15
Where this pay comes from
Location as the employer wrote it: Waltham, Massachusetts, United States
$151,900—$238,700 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
