This Product Manager role owns the agentic tools platform and integration strategy for ZoomInfo's multi-agent orchestration system. The role involves defining, building, and evolving the tool ecosystem that powers agents, architecting integration roadmaps with external platforms, and enabling internal tool development. The focus is on the capability layer that determines what agents can do, operating at the frontier of agentic systems and tool use.

Senior Machine Learning Engineer role focused on building and productionizing AI/ML systems for entity resolution, knowledge graphs, and agentic workflows on large-scale datasets. The role involves developing transformer/RAG architectures, retrieval pipelines, NER models, and cross-dataset entity resolution frameworks, with an emphasis on performance optimization and deployment.

The R&D Engineer is a researcher-practitioner responsible for staying close to the frontier of LLM and AI systems research, identifying ideas with practical value, and building POCs. They will extend and improve existing agent and RAG SDKs, evaluate new embedding models and retrieval architectures, and collaborate with Platform and AI Engineers to productionize validated POCs.

This role is responsible for building and leading ZoomInfo's People Analytics & Innovation function. The Head of People Analytics & Innovation will own the end-to-end analytics strategy for HR, designing and shipping AI-powered tools, predictive and prescriptive models, dashboards, and research. This is a hands-on, player-coach role that requires setting the vision, writing code, and hiring/developing a team. The ideal candidate combines deep technical fluency (Python, statistics, SQL, AI/ML) with strategic judgment and a builder mentality to create new capabilities from scratch.

Product Manager for ZoomInfo's Agentic Ecosystem, focusing on building and owning core AI agents, the Plays library for packaging intelligence into workflows, and the marketplace for customer deployment. The role involves hands-on building, prototyping agents, refining prompts, testing orchestration patterns, and translating GTM expertise into agentic design, with a focus on scaling AI capabilities for GTM teams.

Senior Product Manager for Context Engineering at ZoomInfo, focusing on architecting and owning the context layer for AI intelligence across various products. This role involves designing acquisition pipelines, building a platform for internal customers, driving quality through evaluation frameworks, navigating emerging research, and orchestrating cross-functional execution. Requires experience in ML/AI infrastructure, RAG systems, vector databases, and platform products.

This role is for a Head of Performance Marketing who will rebuild paid media operations using AI agents and AI-first principles. The focus is on automating tasks, increasing testing velocity, improving creative, and building an AI-native growth engine for a B2B company. The role requires hands-on experience with AI tooling, light coding, and a deep understanding of performance marketing.

Senior Software Engineer role focused on integrating AI capabilities within SAP S/4HANA, specifically involving SAP Joule, agentic AI development, and LLM technologies like LangChain/LangGraph. The role also includes SAP Fiori/UI5 and ABAP development, with a focus on building and optimizing AI-driven solutions and conducting Proof of Concepts for new technologies.

Senior Software Engineer to design and implement core systems for a real-time marketing platform, focusing on high-throughput ad infrastructure, large-scale identity resolution, and LLM-enhanced intelligent systems. The role involves building distributed systems, high-performance APIs, leveraging ML/LLMs for data analysis and decision-making, and developing intelligent agents.

Principal Software Engineer role focused on designing and implementing core systems for a real-time marketing platform, leveraging LLMs and agent frameworks for data analysis, classification, and intelligent decision-making. The role involves building distributed systems, high-performance APIs, and data pipelines, with a focus on AI-native development and driving quality, performance, and observability.