Define the technical vision and multi-quarter roadmap for cloud infrastructure while leading cross-team architecture initiatives. Build and evolve internal platform products, manage infrastructure as code, and ensure reliability through SLOs and incident management.
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.
Lead the transformation of ZoomInfo's applications by integrating generative AI and autonomous agents into go-to-market workflows. Drive the end-to-end AI product lifecycle from vision and roadmap definition to cross-functional execution and performance measurement.
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 own the end-to-end development of machine learning systems to extend the B2B data graph and infer buying intent from multilingual web content. This includes building and deploying LLM agents, optimizing model performance, and mentoring team members to raise engineering standards.
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 end-to-end research and development projects, translating complex business questions into well-defined data science problems. This involves designing predictive models, implementing production-ready data pipelines, and communicating actionable insights to cross-functional stakeholders.
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 architect and implement scalable infrastructure for a unified data platform, including GraphQL-based federated query systems and real-time analytics pipelines. Additionally, you will mentor engineering teams, define technical roadmaps, and ensure system reliability and performance at scale.
The Senior Director will define and execute the GRC roadmap while managing enterprise risk and ensuring continuous compliance with international security frameworks. They will also lead a global team to implement AI-driven automation and act as a liaison between security, legal, and product departments.
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 build high-performance distributed systems and APIs that process billions of behavioral events in real time. Additionally, you will leverage machine learning and LLMs to extract signals and build intelligent agents to power user-facing insights.
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.
Own full-stack features from design to production for the Mesh AI platform, including backend APIs and cloud infrastructure. Build core platform capabilities such as AI agents, orchestration workflows, and developer SDKs while mentoring other engineers.
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.
