The Principal Software Engineer will serve as a technical force multiplier across integrations, workflows, and data management pillars. They will write production-quality code, define scalable event-driven architectures, and lead technical initiatives to improve system reliability and performance.
The Principal Data Engineer will define and evolve the architecture, engineering standards, and operating model for the enterprise data platform. This role involves leading critical architectural decisions across data ingestion, storage, transformation, and governance while mentoring engineering teams.
You will design, build, and maintain scalable analytics data models and infrastructure to support data-driven decision-making. Additionally, you will partner with cross-functional teams to establish data contracts, metrics, and reusable datasets that improve data reliability and self-service capabilities.
The Policy Analyst will track, analyze, and report on legislative and regulatory developments impacting ZoomInfo, with a focus on ad tech, privacy, and AI. They will also draft advocacy materials and represent the company in industry coalitions and working groups.
The Senior Director of Security Architecture will lead the security architecture team to develop and maintain robust security strategies across cloud, application, data, and AI domains. This role involves overseeing the secure development lifecycle, managing security risks, and fostering a security-first culture through a security champions program.
You will define the multi-year strategy and roadmap for the Agentic Platform, overseeing core primitives like orchestration, memory, and tool infrastructure. Additionally, you will lead a team of senior product managers and partner with engineering to ensure production-grade performance and scalability.
You will design, build, and maintain scalable software solutions while integrating AI and data science capabilities into production workflows. Additionally, you will lead technical projects, define engineering standards, and mentor team members to ensure high-quality, reliable system performance.
You will build and own the production machinery for AI-native entity agents, ensuring they operate at scale with automated benchmarking and evaluation. This involves developing evidence adapters, managing data pipelines, and creating self-service tooling for product managers and researchers.
Set technical strategy for the data graph, entity resolution, buying intent, and agent context, while designing and shipping new machine learning systems. Establish evaluation standards and data contracts, make model cost and capacity decisions, and guide technical reviews, mentoring, hiring, and collaboration with product and leadership.
Build, deploy, and monitor end-to-end data pipelines and reusable dbt models across the company’s data stack, while contributing to infrastructure, engineering standards, and production support. Partner with stakeholders across business units to scope requirements, resolve data quality issues, meet SLAs, and ensure data governance and PII compliance.
You will establish and maintain infrastructure patterns for data platforms, ensuring they are scalable, cost-efficient, and easy for data teams to consume. Additionally, you will lead technology evaluations, define CI/CD workflows for data pipelines, and provide architectural guidance across the organization.
You will lead a senior team in building and scaling the B2B data graph strategy, integrating classical machine learning with LLM and agentic systems. This role involves hands-on coding, setting technical standards, and managing inference costs, latency, and model quality.
You will own the end-to-end lifecycle of vertical datasets, including development, platform delivery, and commercialization strategies. You will also work directly with sales and strategic customers to shape product offerings and drive revenue growth.
The Principal Product Manager will own the end-to-end strategy for person data, driving the transition from rule-based selection to agent-adjudicated inference models. They will build and manage the AI evaluation engine to ensure data accuracy, coverage, and compliance across the platform.
You will own a growth portfolio end-to-end, defining the multi-quarter thesis and setting the operating rhythm for experimentation across the team. You are responsible for driving user experience, monetization mechanics, and cross-functional orchestration to convert visitors into revenue.
You will design and implement scalable, fault-tolerant web crawling and data extraction pipelines to process massive volumes of web data. Additionally, you will operate ETL/ELT systems and collaborate with product and data science teams to deliver high-impact engineering solutions.
The Senior Product Manager will own features across audience building, AI enrichment, and AI orchestration within the GTM Studio platform. They will drive the product roadmap while bridging data and applications to support revenue operators.
Lead end-to-end technical engagements for strategic accounts by designing and deploying bespoke intelligence applications. Bridge the gap between technical data engineering and business stakeholders to drive data consumption and growth.
The Senior Product Manager will own the product strategy and roadmap for identity resolution, focusing on defining vision and success metrics to drive measurable improvements in match rates and customer value. This involves delivering measurable performance improvements through rigorous prioritization, rapid experimentation, and resolving data quality issues impacting resolution accuracy.
Manage the complete onboarding process for all ZoomInfo customers, ensuring a smooth and timely implementation experience. Serve as the primary point of contact, coordinating with cross-functional teams to align goals, timelines, and deliverables.
