ZoomInfo Technologies LLC - Principal Product Manager
Requirements
• Commercially minded. You think about products in terms of who pays for them and why. You've owned a number, or been close enough to one that it changed how you prioritized. You're comfortable in pricing conversations and you know packaging is a product decision. • Heavy customer-facing background. You've spent real time in front of customers: enterprise product management with a lot of customer contact, solutions consulting, professional services, or a customer-facing role at a data company. You like it. You don't see customer calls as time away from the "real" product work. • Experience building data solutions. You've taken multiple datasets and turned them into a product or workflow that served a specific market, ideally in financial services, insurance, or another data-heavy vertical. You understand why a bundle of datasets wrapped in a workflow beats a data feed, and you've competed against point solutions on that basis. • Enjoys all of product management. Discovery, requirements, working with engineers, launch, enablement, pricing, and the unglamorous work of getting something actually shipped across multiple teams. Principal here means you can run the whole thing without a lot of scaffolding. • Data fluency. You can work in SQL, you understand entity resolution and the tradeoffs between coverage, accuracy, and freshness, and you can look at a dataset and form your own opinion about whether it's any good. Experience with B2B data, data licensing, or data-as-a-service is a strong plus. Experience with public records, regulatory filings, or vertical-specific data sources is a plus too. • Ownership and urgency. These are the two traits that predict success here. You take responsibility for outcomes, not deliverables. You move fast, make calls with incomplete information, and don't wait for process to exist before getting things done. • Proficient with AI tooling. AI tooling has let us move fast and compress work that historically took days and weeks down to hours and minutes. Your first instinct should be to reach for AI tools to work fast and produce an incredible amount of output. We use Claude Code and similar tools across the team for building, analysis, and writing, and you should be comfortable working that way.
Responsibilities
• 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 commercial property data become a prospecting workflow for a commercial banker, or how Form 5500 and insurance producer data become a cohesive platform for the benefits and insurance market. Package datasets into something a vertical buyer recognizes as built for them. • Run point across data, engineering, and go-to-market. You're the person who knows where a dataset stands at every stage and is accountable for moving it forward. That means working with analysts on data quality, with engineering on delivery, with pricing and legal on terms, and with marketing on how it shows up in market. • Prioritize a portfolio. There are more datasets we could build than we can build well. You'll help decide which ones get investment based on revenue potential, customer pull, and what makes the core data more valuable. • Close the loop. What you learn from customers goes back into what we build next. What you learn from delivery goes back into how we build faster.
Benefits
• Career Details • 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. • Vertical data is a growth area for the company with executive sponsorship and real investment behind it. The datasets are live and generating revenue, customers are pulling, and the infrastructure to deliver across surfaces is in place. What we need is someone to own more of it. • You'll work with some of the largest enterprises in the world on data problems they care about, alongside a team of analysts, forward-deployed engineers, and AI-native builders. You'll have a direct line to the revenue your work produces. And you'll help define how ZoomInfo builds and sells specialized data for years to come. • 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 • 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. • 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.
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