Jobs at ZoomInfo

Design, build, and operate high-volume distributed systems and streaming data services. Develop Java microservices and Python backend APIs, implement real-time engagement-to-CRM mapping, integrate third-party conferencing and CRM platforms, drive architecture and best practices, mentor engineers, and own customer-facing production systems.

Design, build, and operate large-scale data pipelines and a Snowflake-based warehouse/lakehouse using Airflow, DBT, and Python. Integrate diverse data sources, enforce data quality SLAs, participate in on-call rotations, drive architecture and roadmap decisions, mentor engineers, and collaborate with ML/product teams to enable AI-ready data products.

Lead end-to-end GTM consulting engagements: assess revenue operations, design GTM frameworks and data strategies, implement scoring models, automation, and territory design, facilitate executive workshops, manage stakeholders and project governance, collaborate with product and engineering, and drive adoption and expansion opportunities.

Individual contributor leading execution of learning programs, administering and optimizing learning platforms, building AI-enabled learning experiences, measuring impact with dashboards, and supporting onboarding, compliance, and capability-building across a global organization.

Lead design and delivery of scalable cloud-native data pipelines, automate data acquisition/enrichment using AI and web-scraping, analyze large structured and unstructured datasets, define KPIs and reporting, partner cross-functionally, ensure data quality, mentor junior analysts, and drive strategic data initiatives to produce actionable insights.

Build and operate large-scale backend data pipelines and ETL/ELT workflows for ingesting, validating, normalizing, enriching, and storing high-volume data. Implement Java-based services, batch and streaming processing (Beam, Spark, Dataflow), orchestration (Airflow), and cloud infrastructure (GCP). Improve data quality, observability, and reliability while collaborating with product and platform teams to deliver production-grade data acquisition solutions.

Build and deploy backend components for a conversation-intelligence platform: design complex distributed systems and microservices, integrate third-party conference providers via SDKs, work with cloud infrastructure (AWS/GCP), SQL and NoSQL datastores, RESTful APIs and CI/CD, and support a customer-facing product handling millions of requests daily.

Design, build, and maintain high-volume backend microservices and full-stack scalable applications. Work with cloud infrastructure (GCP/AWS), databases (MySQL, MongoDB), search and big-data tools (Hadoop, Solr/Elasticsearch, Apache Beam), and CI/CD (Jenkins). Perform code reviews, mentor junior engineers, and solve high-scale performance and data-correlation challenges.

Support month-end close, GL reconciliations, revenue analysis, and ASC 606 contract review. Prepare journal entries, audit support, policy memos, and collaborate with sales, legal, and customer success. Use AI and financial systems to automate workflows and improve processes.

Perform IT audits and SOX testing across IT general and automated controls, assess IT risks, document findings, recommend remediations, manage stakeholder relationships, and improve audit methodologies and technologies.

Design, build, and maintain production React Native mobile apps for iOS and Android. Collaborate with product, design, and backend teams, write testable TypeScript/JavaScript code, lead code reviews, diagnose performance issues, mentor junior engineers, and evaluate new mobile technologies to improve the platform.

The Finance Systems & AI Lead will govern and optimize the FP&A tech stack, leveraging Microsoft Fabric and AI for automation and insights, while ensuring effective collaboration across finance and IT teams.

Execute outbound enterprise sales prospecting into existing customers to build pipeline for Account Managers. Articulate ZoomInfo value, identify expansion opportunities, personalize outreach, collaborate with Account Managers, and maintain a structured prospecting plan to drive demos and pipeline.

Own platform narrative and product marketing for strategic platform initiatives. Develop positioning, messaging, launch strategy, and launch assets. Build AI-powered workflows, templates, and scalable frameworks to improve PM and PMM output. Create executive storytelling, videos, and explainers. Partner cross-functionally with Product, Marketing, Sales, Enablement, Customer Success, and Analytics to support GTM and adoption.

Drive enterprise new business by sourcing opportunities, managing complex sales cycles, and closing six-figure deals. Build account plans, engage C-suite stakeholders, lead cross-functional teams, use CRM and CPQ for forecasting and proposals, negotiate contracts with legal/procurement, and deliver accurate sales forecasts to achieve sustained revenue growth.

Serve as a strategic HR partner to managers across G&A, R&D, and GTM, guiding performance management, employee relations, investigations, organizational effectiveness, talent development, and workforce planning. Coordinate with HR Centers of Excellence to deliver integrated people solutions, analyze workforce data to inform decisions, support organizational change, and drive HR programs and continuous improvement to enhance manager capability and employee experience.

Manage a portfolio of ~175 SMB accounts focusing on retention and upsell. Run online demos, build pipelines and forecasts in Salesforce, collaborate to close deals by phone, and research clients to target the right contacts and drive growth.

Lead Salesforce platform engineering for a large instance with 25+ integrations. Architect and implement complex customizations (Apex, LWC, Flows), build integrations via APIs and middleware, optimize performance and scalability, enforce code quality, mentor junior developers, and maintain deployment, security, and compliance best practices.

Lead the product strategy for the indirect tax technology ecosystem, integrating TR OneSource with Salesforce and SAP, while exploring AI solutions to enhance efficiency.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.