Principal Product Manager, Person Data And Ai Evaluations

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. Principal Product Manager, Person Data and AI EvaluationsZoomInfo | Product | Core Data 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 The OpportunityZoomInfo’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. 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. 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 You inherit a live portfolio: person data quality (removing bogus or outdated executive contacts, unlinking contacts from the wrong company, title classification, email deliverability), person coverage and extraction, and the privacy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. 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. What You’ll DoOwn Person Data end to end. Set the strategy, roadmap, and monthly priorities for ZoomInfo’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 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. Write the policy clauses the agent follows, the grading guides research uses to score it, and the acceptance rules the pipeline enforces. Decide the order, prove each step in shadow mode against the gold set, and retire the legacy logic when the numbers say it is safe. Bring AI into the pipeline without tanking the data Person‑to‑company matching, wrong‑company links, duplicate people, and identity across sources are the problems that make or break contact data. Own the privacy roadmap for person data. Own the privacy roadmap for person data — suppression, opt‑out, and notification — with Legal and Privacy. Prototype adjudication agents, evals, and analysis in code with the AI engineer and data science. Use Claude and agentic tooling daily to inspect results, tune prompts, and verify output so that no single absence blocks an iteration cycle. Act as the hub between Person Data engineering, Match, Research, Data Science, Web Data acquisition, Privacy, and the application teams that consume contact data. Represent the roadmap and its rationale clearly to product and data leadership, and write the release notes and customer‑facing narrative with Product Marketing. What You’ll Bring8+ years of product management experience, with meaningful time owning data products or data platforms at scale Hands‑on experience with data pipelines, ideally incremental or streaming rather than batch rebuilds, Demonstrated, current use of AI to improve data systems, not just AI as a feature: you have brought an LLM into a production data process and can describe how you kept accuracy from degrading human‑in‑the‑loop routing, and production drift monitoring Comfort working in code: you can read a pipeline, write a prompt and a validator, run an analysis in SQL or Python, and commit alongside engineers Experience partnering closely with engineering and data science on complex, data‑intensive systems, and a track record of influencin