Jobs at ZoomInfo

Manage end-to-end procurement for contract labor and other categories, including sourcing, RFPs, contract administration, negotiations, approvals, renewals, compliance, supplier governance, payments, and performance metrics. Partner with stakeholders and vendors to develop sourcing strategies, benchmark spend, maintain contractual documentation, and ensure service-level and financial objectives are met.

Build and operate production infrastructure for entity-focused AI agents. Responsibilities include scheduled benchmarking and golden gates, scalable entity-agent pipelines, evidence adapters, replayable vendor stores, agent-platform deployment, review and batch tooling, rollback mechanisms, and comprehensive cost, quality, latency, and health instrumentation. The role partners with AI engineering, product, research, data, and platform teams to move prototypes into reliable, self-service production systems.

Conduct strategic outbound sales to enterprise accounts, partnering with Strategic Enterprise Account Executives to build pipeline and generate new business opportunities. Research accounts, personalize outreach, engage senior executives, educate prospects on ZoomInfo solutions, uncover business needs, and schedule meetings through high-volume calls, emails, and social interactions.

Build customer-facing frontend experiences for ZoomInfo’s Conversation Intelligence platform. Develop responsive UI components, data visualizations, charting experiences, and AI-powered interfaces using modern frontend frameworks. Collaborate with designers and product managers, contribute to REST APIs, guide frontend architecture and performance, review code, and maintain a high-quality frontend codebase.

Own demand generation strategy, qualified pipeline, and revenue targets for ZoomInfo’s existing business. Develop account-based marketing and segmentation strategies, direct campaigns across paid media, events, content, and partnerships, manage demand investments, and drive customer adoption of new product features. Collaborate with Sales, RevOps, Finance, content, product marketing, and account management teams while using pipeline metrics, attribution, and AI to optimize campaign execution.

Manage strategic mid-market and enterprise SaaS accounts by driving product adoption, customer value, retention, renewals, and relationship growth. Develop account success plans, conduct business reviews, monitor usage and risk trends, educate customers on new features, coordinate internal stakeholders, resolve issues, and communicate customer feedback to product and service teams.

Drive DevOps and SRE initiatives across cloud-native data infrastructure. Deploy and manage Kubernetes workloads on AWS and GCP, provision infrastructure with Terraform, maintain CI/CD pipelines, develop Python automation, improve observability and reliability, optimize cloud costs, enforce security standards, and influence cross-functional data and engineering teams.

Build Python-based agentic developer productivity systems that transform engineering requests into scoped work, implementation plans, testing, reviews, and pull requests. Develop Slack, Jira, Salesforce, and workflow integrations; support distributed systems, permissions, auditability, observability, rollback, and cost controls. Collaborate cross-functionally, write maintainable code, participate in reviews, use AI-assisted development tools, and troubleshoot agentic platforms.

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.

Design, develop, and maintain scalable backend and full-stack systems using Java, Node.js, NestJS, Kafka, REST APIs, and cloud technologies. Build and improve microservices, databases, and event-driven applications while enhancing performance, security, and maintainability. Collaborate with product, engineering, and customer support teams to deliver features, solve complex technical problems, and validate innovative solutions.

Provides advanced technical support for ZoomInfo products in a B2B software environment. Diagnoses API, integration, CRM synchronization, data quality, browser, and network issues; manages complex cases through resolution; and collaborates with Product and Engineering teams. Develops troubleshooting documentation, playbooks, training materials, and process improvements while mentoring junior staff and surfacing customer feedback. Supports product releases, beta testing, enablement, and collaboration across Customer Success and Sales.

Provides technical support for customer integrations, troubleshoots incidents, manages engineering escalations, documents best practices, and educates customers on third-party products. The role captures customer feedback, identifies renewal risks and upsell opportunities, and helps drive product adoption and satisfaction. Responsibilities include investigating and replicating issues, communicating technical concepts to varied audiences, and supporting customers across CRM, marketing automation, and sales acceleration platforms.

Manage night-shift workplace operations including facilities coordination, transport and travel logistics, access and ID management, food/beverage and vendor coordination, event and meeting support, courier/visitor handling, safety and emergency support, and administrative record-keeping to ensure smooth office functioning.

Build and own production data pipelines, dbt models, semantic layers, and supporting infrastructure across Snowflake, BigQuery, Airflow, Fivetran, Databricks, AWS, and GCP. Partner with stakeholders across business functions to scope requirements, resolve data quality issues, monitor SLAs, support incident response, and apply data governance practices. The role requires autonomous delivery, strong communication, production-grade Python and SQL, and contributions to engineering standards, CI/CD, testing, and documentation.

Provides strategic and day-to-day labor and employment counsel across the company’s U.S. workforce while coordinating international matters in the UK, Ireland, India, Canada, and Israel. Advises HR and executives on employee relations, performance management, accommodations, leave, terminations, policies, agreements, compliance, and litigation. Manages outside counsel and builds scalable employment processes, playbooks, and decision frameworks in a fast-paced technology company.

Architects and standardizes cloud infrastructure for data platforms on GCP, including Kubernetes, networking, Terraform, GitOps, CI/CD, observability, performance, cost, security, and disaster recovery. Evaluates emerging data technologies, runs prototypes, guides managed-service connectivity, supports governance and consolidation, and enables engineering teams through architecture reviews, workshops, reference implementations, and documented standards.

Leads the applied AI team responsible for ZoomInfo’s B2B data graph, agent memory, production machine learning, LLMs, and agentic systems. Sets technical standards, evaluation methods, cost and latency goals, and model-serving strategy while remaining hands-on with code and prototypes. Hires and develops senior technical talent, guides build-versus-buy and model decisions, and communicates results to executives and cross-functional stakeholders.

Own end-to-end data science and machine learning projects, including problem definition, statistical analysis, predictive modeling, deployment, monitoring, and production data pipelines. Translate business questions into measurable KPIs and actionable insights for Product, Sales, Marketing, Finance, and HR. Build maintainable code and communicate findings to technical and non-technical stakeholders while contributing to code reviews, shared tooling, documentation, and team mentorship.

Partners with account executives and customers to understand business needs, design technical solutions, deliver software demonstrations, lead evaluations, and secure technical wins. Collaborates with Sales, Customer Success, Product, and Engineering, documents solutions through proposals and RFPs, tracks feature requests, and applies value-selling methodologies across SaaS, sales, marketing, CRM, and automation platforms.

Designs, develops, and operates scalable backend services, APIs, distributed systems, and event-driven architectures. Owns features end to end from technical design through deployment, monitoring, troubleshooting, and improvement. Investigates complex production issues, improves reliability and performance, participates in architecture decisions, collaborates cross-functionally, and provides technical guidance to engineers.