Jobs at ZoomInfo

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.

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 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.

The Software Engineer II designs and implements SAP Fiori/UI5 applications and ABAP backend solutions, collaborating with teams to enhance SAP functionalities and drive innovation in technical specifications and integrations.

Lead DevOps and SRE initiatives for cloud-native data platforms: deploy and manage Kubernetes workloads (EKS/GKE), provision infrastructure with Terraform, maintain CI/CD (Jenkins, ArgoCD, GitHub Actions), automate with Python, monitor observability tools, optimize cloud costs, enforce security and SRE best practices, and collaborate with data teams to improve reliability and workflows.

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

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.

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.

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.

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.

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.

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.

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.

Design, build, and operate large-scale data acquisition pipelines and backend services. Implement ETL/ELT for batch and streaming flows, develop Java production services, ensure schema evolution and data quality, optimize performance and cost, and provide observability. Collaborate with product, data science, and platform teams to translate requirements into production-ready systems.

Partner with sales and solution architects to technical-sell ZoomInfo products: gather requirements, deliver tailored demos and proofs, resolve technical concerns, document solutions, and build trust with RevOps and technical stakeholders throughout the sales cycle.

Provide day-to-day support for customers using ZoomInfo integrations: triage incidents, recommend workflows, escalate to engineering, document best practices, capture customer feedback, learn third-party products, identify renewal risks and upsell opportunities, and collaborate across teams to drive adoption and satisfaction.

Drive technical solutioning during the sales process by validating product functionality and integrations, delivering tailored demos and technical proofs, resolving customer technical concerns, producing technical documentation, and collaborating with solution architects, account managers, and cross-functional teams to ensure proposed RevOps and GTM solutions meet business requirements.

Lead and develop a Mid-Market Sales Development (SDR) team: hire, train, coach, define metrics, manage dashboards, partner with marketing and AEs, iterate on process and campaigns, and ensure sufficient qualified pipeline for the sales organization.

Research, collect, verify, and maintain company firmographics and executive contact data. Ensure data accuracy and consistency, follow research protocols and privacy laws, and collaborate with cross-functional teams to improve the sales intelligence database.

As a Sales Development Representative, identify and engage executives, develop outbound sales plans, and establish relationships to drive sales for mid-market organizations.