Jobs at ZoomInfo

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

As a Senior Machine Learning Engineer at ZoomInfo, you will enhance core datasets through ML/NLP solutions, manage entity resolution tasks, and drive cross-functional impact by mentoring teams and collaborating on ML KPIs.

Senior individual contributor who designs, develops, and executes compensation programs (base pay, incentives, equity). Advises HR and business leaders, builds analytical models and executive reports, leads benchmarking and pay equity analyses, ensures regulatory compliance, partners with Talent Acquisition, HRIS, Finance, and Legal, and drives compensation cycle administration and process improvements.

Manage day-to-day execution of SOX program including controls and testing, lead a global team, optimize processes, and collaborate with auditors.

The Forward Deployed Data Engineer at ZoomInfo designs and delivers custom intelligence applications for strategic accounts, managing engagements end-to-end and collaborating with various teams to optimize data solutions.

Lead global FinOps strategy across multi-cloud (GCP/AWS), build unit-economics and cost-allocation models, manage AI-related cloud costs, own forecasting and cloud budgeting, negotiate international vendor contracts, report Cloud TCO, and grow a FinOps team.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

The Senior Account Manager manages a portfolio of high-spend enterprise accounts, focusing on client retention, upsell opportunities, and measurable business outcomes utilizing ZoomInfo's data solutions.

Lead development of AI-native GTM products using LLMs and autonomous agents. Set vision and roadmap, partner with sales/marketing/CS, define AI metrics, run experiments, and lead cross-functional teams to deliver revenue-driving, user-centric automation.

Lead AI-native product development for GTM workflows—define vision and roadmap, build generative AI and agent-driven features, engage sales/marketing/CS customers, measure AI-centric metrics (e.g., agent task completion, model accuracy), and drive cross-functional teams to deliver revenue-impacting experiences.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.