ZoomInfo

Data Engineer

• Lead and develop two Director-level managers and their respective teams spanning data platform engineering, data pipeline development, and practitioner enablement.
• Set the multi-quarter roadmap for the Enterprise Data Platform and Engineering organizations, balancing infrastructure modernization, operational stability, security, and enablement priorities.
• Build a high-performance engineering culture grounded in ownership, accountability, and operational excellence.
• Drive headcount planning, organizational design, and career development frameworks that attract and retain top talent across a distributed team.
• Serve as a trusted partner to the VP of Engineering & Innovation, contributing to broader engineering strategy and organizational decisions.
• Establish clear prioritization frameworks to manage competing demands from security, infrastructure modernization, platform stability, and practitioner tooling.
• Own the strategic direction for ZoomInfo's core data infrastructure, including Snowflake, Airflow, Fivetran, AWS, and GCP.
• Guide the design and buildout of an Iceberg-based GCS Data Lake as the foundation for scalable, cost-efficient storage, including governance, observability, and ingestion patterns.
• Oversee cloud infrastructure consolidation to GCP, including Airflow 3.x upgrades, service migrations, and deprecation of legacy environments.
• Drive SaaS vendor strategy and cost optimization — evaluating build-vs-buy decisions for ingestion (Fivetran/Airbyte), cost management, and other platform tooling.
• Oversee monorepo consolidation and CI/CD standardization to enable consistent governance and accelerate deployment velocity.
• Ensure the platform team maintains a strong security posture including service account modernization, key rotation, legacy role decommissioning, access reviews, and incident response readiness.
• Oversee the development, reliability, and monitoring of all enterprise data pipelines powering analytics, reporting, and operational workflows.
• Guide the evolution of data modeling practices through dbt and semantic models, ensuring data products are trusted, documented, and well-tested.
• Champion the shift-left initiative, enabling product and engineering domain teams to own their data assets end-to-end while maintaining quality and standards.
• Support the development of AI-assisted tooling (agents and micro apps) that automate data engineering workflows — from ingestion and modeling to deployment and monitoring.
• Drive platform-wide data standards alignment for metadata, ownership, testing, and documentation.

Senior Director, Data Platform – Engineering

Full-stack Engineer

• Define and make architectural decisions which impact how we scale and automate our outbound sales processes and drive efficiency for go-to-market teams
• Remain close to the latest advancements and trends in AI and NLP, conducting research and experimentation to drive innovation and stay on the frontier
• Collaborate with engineers, product managers, designers and other stakeholders to define strategy and technical direction for GTMO, and Mesh, our internal AI platform
• Define and promote software engineering best practices, contribute to design and code reviews, improve system observability and performance

Principal Software Engineer

Machine Learning Engineer

• Invent and productionize Transformer/RAG/Graph RAG architectures that surface the right contact, company, or insight while driving quantization, distillation, and SLM fine-tuning (GTE-Qwen, modernBERT) so models stay fast and affordable at petabyte scale
• Prototype and launch hybrid dense/sparse retrieval pipelines on vector DBs to build language-agnostic clustering and classification systems that power our intelligence layer
• Own high-recall NER models that tag people, orgs, locations, and industry-specific entities across multi-language text, extracting structured insights from web data to improve our signal detection capabilities
• Build cross-dataset entity-resolution frameworks that dedupe and merge hundreds of millions of fragmented company and person records with sub-second latency, creating enriched, unified entities enhanced with knowledge-graph signals
• Design and implement agentic workflows with robust evaluation frameworks focused on NER and entity resolution tasks, including large-scale A/B and back-testing plans that close the loop from experiment to KPI uplift
• Scale ML solutions and drive cross-functional impact by partnering with ML engineers to ensure production reliability, translating product goals into measurable ML KPIs, and influencing roadmap and investment decisions while mentoring junior scientists and engineers
• Drive end-to-end project ownership from problem definition through deployment, collaborating closely with engineering and product teams to understand business requirements and translate them into scalable ML solutions that enhance foundation data quality across company firmographics, professional demographics, C-suite profiles, and web-extracted signals

Senior Machine Learning Engineer

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

Principal Software Engineer – Data

Account Manager

• Manage six-figure renewals by demonstrating measurable business outcomes driven by ZoomInfo's data points and products
• Lead data validation exercises and proof-of-value engagements that connect ZoomInfo data to measurable client business outcomes
• Own a book of business comprising ~20 accounts with an employee headcount over 1,000.
• Increase spend into these accounts to grow them via off-cycle upsell with deal sizes ranging $100K-$500K+ ACV.
• Identify new business opportunities within existing clients using referrals, prospecting into white space and utilizing established relationships.
• Work collaboratively with an entire team of internal resources to navigate complex use cases and ensure tight alignment with customers on how ZoomInfo can help them achieve their business objectives.

Senior Account Manager – Enterprise

• Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
• Write clean, production-grade code in Java and Python
• Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
• Work with cloud infrastructure on GCP and AWS, primarily on GKE
• Improve observability, reliability, and operational excellence across the systems you contribute to
• Partner with product and data science teams to deliver impactful solutions
• Contribute to code reviews, documentation, and knowledge sharing across the team
• Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches

Senior Software Engineer – Web Data Team

Accountant

• Assist with month-end close and GL account reconciliations, as assigned
• Prepare ad hoc revenue analytics and reporting.
• Prepare monthly revenue analysis report for management.
• Draft footnote support for audited financial statements.
• Assist with annual audit.
• Direct the accounting review of contracts with customers, ensuring proper documentation under ASC 606 and that any nonstandard findings are properly documented and accounted for.
• Assist management with maintaining and implementing accounting policies and procedures, especially as they relate to revenue and commission transactions.
• Help with the review of technical revenue accounting items, including the drafting of policy memos. Areas of exposure will include review of contracts with customers, contract modification treatment, third-party arrangements, and variable consideration.
• Prepare and review journal entries
• Work closely with the customer success and sales teams on contract questions and modifications
• Train team members on technical revenue accounting and ZoomInfo practices and policies
• Other work as assigned by your manager or leadership.

Senior Revenue Accountant

People Operations

• Build and lead ZoomInfo's People Analytics & Innovation function, including hiring, developing, and managing two individual contributors
• Define and execute the people analytics strategy and roadmap, translating HR and business priorities into a pipeline of high-impact analytics projects and AI-powered tools
• Design and build custom AI tools, automation, and applications (using Python, MCPs, LLMs, and related technologies) that fundamentally improve how HR operates and makes decisions
• Develop predictive and prescriptive models across workforce planning, attrition/retention, engagement, talent mobility, and employee experience
• Create and maintain executive-ready dashboards, reports, and data visualizations that surface actionable insights for senior leadership
• Own the design, deployment, and analysis of enterprise-wide qualitative instruments (e.g., employee surveys, pulse checks) and synthesize findings into strategic recommendations
• Partner with HR leadership and cross-functional stakeholders to identify high-value analytical questions, scope projects, and deliver data-driven recommendations
• Transform complex analytical findings into clear, compelling narratives and presentations for executive audiences, including the ELT
• Establish scalable data infrastructure, governance frameworks, and measurement processes that enable a self-service analytics culture over time
• Stay current on emerging trends in people analytics, AI/ML, and HR technology — and proactively identify opportunities to apply them at ZoomInfo
• Collaborate with global Compliance, Privacy, Legal, and Risk teams to ensure people analytics initiatives adhere to regulatory requirements, data privacy standards, and internal governance policies
• Partner with enterprise Data Engineering and Infrastructure teams to architect, test, and deploy analytics solutions and AI tools into production environments
• Foster a team culture of experimentation, intellectual curiosity, and bias toward action

Head of People Analytics – Innovation

Product Marketing

• Set the executive vision, strategy, and multi-year roadmap for ZoomInfo's GTM Technology portfolio and revenue platform ecosystem.
• Serve as the executive product owner for end-to-end GTM technology platforms spanning CPQ, pricing, quoting, ordering, subscriptions, billing, and post-sales revenue systems.
• Translate company growth strategy and evolving GTM motions into scalable, enforceable platform capabilities that support a global enterprise.
• Lead and drive cross-functional executive alignment across Sales, Finance, RevOps, Product, and Enterprise Applications on priorities, investment decisions, and sequencing.
• Sponsor and guide major platform transformations, including the Revenue Cloud Advanced transition, ensuring long-term architectural integrity, scalability, and business continuity.
• Establish and own governance and decision frameworks that balance delivery velocity, compliance, and platform durability at scale.
• Define and institutionalize the GTM Tech product and platform operating model, including roadmap discipline, investment planning, and outcome-based accountability.
• Build, attract, and develop a world-class organization of product leaders accountable for measurable business outcomes and platform excellence.
• Embed pricing controls, policy enforcement, and financial compliance directly into system design and platform architecture.
• Champion and scale AI-driven automation across GTM workflows to drive efficiency, decision quality, and superior customer experience.

Vice President – GTM Technology Product and Operations

• Build the FDE Playbook
• Own Strategic Customer Engagements End-to-End
• Deliver Custom Intelligence Applications
• Bridge Technical and Business Audiences
• Drive Stickiness and Expansion

Forward Deployed Data Engineer

Performance Marketing

• Own all paid channels such as Search, Paid Social, Display/Programmatic, Review sites, Retargeting, and Emerging platforms
• Apply a B2C growth lens including high-volume creative testing and fast, iterative experimentation
• Manage multi-million-dollar budgets while enabling smart, rapid testing
• Build channel playbooks and standards that raise execution quality across the organization
• Build a central experimentation engine for Paid Media and define clear processes for hypothesis creation and test design
• Introduce templates, modular workflows, and streamline approvals to reduce friction