Principal Product Manager - Vertical Data

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.

Depth is a differentiator in go-to-market data. Knowing a company exists is table stakes. Knowing its fleet, its franchise structure, its lenders, its benefits plans, and its real estate is what closes deals. That kind of depth only works if every record from every source resolves back to the right company and the right person, and almost nobody can do that at scale. ZoomInfo can. The entity resolution infrastructure we've spent years building lets us stitch specialized datasets together into a single connected view of a business, and it's why vertical data is becoming a core part of how we grow our monetizable data assets. We're investing in the team behind it.

We're hiring a Principal Product Manager to own datasets end to end: where the data comes from, how it's built and resolved to ZoomInfo's company and contact universe, how it shows up across every surface we sell through, how it's priced and packaged, and how much revenue it generates. You'll also be the internal subject matter expert on these datasets: the data itself, the sources, the competitive landscape, and how customers actually use it.

We spend a lot of our time close to our strategic customers, working strategic opportunities directly with customers and our sales teams, shaping deals, and figuring out what a dataset needs to look like for a customer to actually buy it. Increasingly that means thinking in solutions, not single datasets. The most valuable thing we can do is package datasets together into workflows for a strategic vertical or a strategic customer, in a way that displaces the point solutions they're using today.

The full lifecycle of a set of vertical datasets, which breaks down into three parts:

Dataset development. Define what the dataset is and who it's for. Source the data (public records, partner licensing, our own extraction and classification). Set the bar for coverage, accuracy, and entity resolution against ZoomInfo's company and contact graph, and work with our data analysts to hit it. Decide what "done" looks like for a dataset and hold the line on it.

Platform delivery. Partner with data engineering and platform engineering to get datasets out of the warehouse, into the GTM Data Store, and live across every surface: our APIs, MCP, and our applications. Write the requirements, define the use case queries, own the testing, drive the handoffs. This is the stage where most data products die. You'll make sure ours don't.

Commercialization. Own pricing and packaging: how a dataset shows up in the price book, what's licensed in bulk versus consumed per record, what needs supplemental terms, how it bundles with core data and with other vertical datasets. We're investing more and more in the product-led motion alongside the sales-led one, so this means enabling both: making datasets discoverable and consumable in-product, and building the sales materials our teams need to sell them by vertical: enablement content, data reference guides, use cases, positioning. Then go sell with them.

Work strategic deals. Sit with sales on the accounts that matter. Get in front of customers, understand what they're actually trying to do with the data, and shape the dataset and the offer to fit. Some of this is presenting. A lot of it is listening and then going back and changing the product.

Build solutions, not just datasets. Figure out how UCC filings and