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The Senior Data Analyst will lead customer insights and competitive intelligence analysis, translating data into strategic recommendations to shape product direction and drive decision-making. Responsibilities include analyzing customer behavior, developing frameworks for competitive threats, and collaborating with cross-functional teams to influence data product roadmaps.

Partner with clients to assess GTM challenges, design solutions, quantify ROI, and communicate business value of ZoomInfo data. Lead discovery, create repeatable frameworks, and present strategic, data-driven recommendations to executive stakeholders to drive adoption and sales growth.

The Senior Product Manager will own the core product experiences of ZoomInfo's AI platform, drive product evolution, manage analytics and tools, and engage with users across multiple departments to meet their diverse needs.

Lead the design and development of ZoomInfo's GraphQL API platform, ensuring high availability and performance. Mentor engineers and shape architectural decisions.

Own and deliver backend initiatives end-to-end for a recruiting application, build agentic AI capabilities, collaborate with a small team, and use AI coding tools daily to scope, ship, and maintain production features.

Own an end-to-end PLG growth loop from first touch to revenue: define entry points, activation, monetization, and PQL routing. Run high-velocity experimentation (8-10 experiments/sprint), design self-serve flows, model credit economics, and collaborate across engineering, design, sales, marketing, and finance to drive activation, upgrades, and expansion.

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.

Own an end-to-end PLG growth loop: define entry points, activation, monetization, and PQL routing. Run rapid, sprint-paced experiments, design self-serve flows and paywalls, model credit economics, and partner with engineering, design, sales, marketing, and finance to drive activation, upgrade, and revenue.

Manage a portfolio of ~150–175 SMB accounts to retain and grow revenue through upsells, referrals, and product demos. Build pipelines and forecasts in Salesforce, collaborate with teammates to close deals by phone, target key contacts, and deliver well-researched, professional client meetings focused on ROI.