Principal Product Manager, Person Data and AI Evaluations

Zoom Info 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.

Zoom Info | Product | Core Data

Zoom Info 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.

Zoom Info’s Core Data team builds and maintains the person and company data that powers the Go-To-Market Intelligence Platform: hundreds of millions of contact records, resolved to the right person at the right company, kept accurate, and delivered to more than 35,000 customers.

That data has always been produced by deterministic pipelines: take many competing sources, weight them, decay them, and select a winner per attribute.

That model is being replaced. Core Data is moving to an inference-default operating model, where an agent reads the full body of evidence for a record, applies our business policy, proposes the answer, and a deterministic verification layer decides whether it lands.

Selection logic goes away; verification and evaluation are what remain. The product manager’s job changes with it.

Instead of writing requirements for hand‑built selection rules, you run the evaluation engine that decides whether the agent’s output is good enough to publish, and you make it better every week.

We are hiring a Principal Product Manager to own Person Data outcomes end to end and to build the AI evaluation discipline that the whole Core Data team will run on. You inherit a live portfolio: person data quality (removing bogus or outdated executive contacts, unlinking contacts from the wrong company, title classification, email deliverability), person coverage and extraction, and the privacy roadmap for person data.

You will carry that portfolio through the pivot from rule-based selection to agent‑adjudicated records, and you will define how we know the new system is right.

This is a role for someone who has shipped data pipelines and entity resolution at scale and who is already using AI every day to make data systems better. You should be as comfortable reading a golden set and an eval report as you are writing a roadmap, and you should be excited that our product managers commit code and work alongside agents as a normal part of the job.

Own Person Data end to end.

Set the strategy, roadmap, and monthly priorities for Zoom Info’s contact data: accuracy, coverage, freshness, and compliance. Own the outcomes and the metrics that prove them, from cleaning up bogus executive contacts and verifying employment through leadership extraction and person location. Partner with the Person Data product manager already on the team and with Privacy, Trust and Identity engineering to deliver the roadmap.

Build and run the AI evaluation engine

Define what "correct" means for each attribute the agent emits. Curate golden sets and trap records with our research team, stand up LLM‑as‑judge gates, set the confidence thresholds that route a record to auto‑accept, auto‑reject, or human adjudication, and track precision, recall, and drift in production. Every model or prompt change to the person pipeline ships through the gate you own.

Drive the pivot from rules to agents

Move person attributes, one at a time, from…