ZoomInfo
Enterprise · B2B data
ZoomInfo is actively hiring for 17 roles related to artificial intelligence. The majority of these positions, 88%, are focused on agents, with a smaller number in application and data stages. Engineering is the primary function for these hires, with roles also available in product and research. The company is hiring for these positions in the United States, Canada, and India. Frequently mentioned technical areas include agent orchestration, retrieval-augmented generation (RAG), and model serving. Over the last 30 days, ZoomInfo has added 8 new AI roles, representing a 33% increase compared to the previous 30-day period.
Currently tracking 13 active AI roles, up 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$261k (avg $203k).
Enterprise · B2B data
ZoomInfo currently has 22 active AI-related roles in our index. The most common open titles are: Senior Product Manager (4), Senior Software Engineer (3), Data Scientist II, Data Scientist III, Full Stack Engineer. Most positions are in Engineering and Product.
ZoomInfo's active AI hiring is concentrated in: agents (86%), application (9%), data (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ZoomInfo is hiring AI talent in: United States (13 roles), Canada (6 roles), India (3 roles).
Job postings at ZoomInfo most frequently reference: agent orchestration, llm observability, model serving, tool use, rag.
In the past 30 days, ZoomInfo has posted 13 new AI-related roles. That is a +44% change versus the prior 30 days (9 → 13).
| Title | Stage | AI score |
|---|---|---|
| Principal Product Manager, Agentic Tools & Orchestration 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. | Agent | 9 |
| Senior Product Manager Senior Product Manager to lead the transformation of ZoomInfo's apps for the era of AI agents and generative AI. The role will reimagine how go-to-market teams discover, engage, and convert target audiences by leveraging AI technologies to create intelligent, autonomous workflows. This involves owning the AI product lifecycle, setting vision and roadmap, engaging customers, defining and tracking AI-centric metrics, and leading cross-functional teams. | Agent | 8 |
| Senior Product Manager Senior Product Manager to lead the transformation of ZoomInfo's apps for the era of AI agents and generative AI. The role will reimagine how go-to-market teams discover, engage, and convert target audiences by leveraging AI technologies to create intelligent, autonomous workflows. This involves owning the AI product lifecycle, setting vision and roadmap, engaging customers, defining and tracking AI-centric metrics, and leading cross-functional teams. | Agent | 8 |
| Head of People Analytics & Innovation 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. | AgentPost-train | 8 |
| Senior Product Manager, Context Engineering 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. | AgentServe | 8 |
| Principal Software Engineer (GTMO/Mesh) Principal Software Engineer to own and build features across the full stack of ZoomInfo's internal AI platform (Mesh), focusing on AI agents, orchestration workflows, microapp infrastructure, and LLM integrations. The role involves full-stack development, cloud infrastructure, incident response, and mentoring engineers, with a preference for experience with LLMs, RAG, and workflow orchestration systems. | AgentServe | 7 |
| Senior Product Manager, AI Data Foundation Product Manager for an AI Data Foundation platform, focusing on data quality monitoring, self-service reporting, and internal tooling to enhance data team efficiency and enable AI-driven data quality improvements and self-remediation. | Agent | 7 |
| Senior Product Manager Product Manager for an enterprise AI platform focused on chat, agents, tools, and dashboards. The role involves owning the core product experience, driving agent platform evolution, shaping the dashboard and analytics layer, managing the tooling ecosystem, and acting as the voice of multiple internal departments. Requires experience with AI/ML products, internal platforms, and enterprise software. | Agent | 7 |
| Senior Software Engineer 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. | Agent | 7 |
| Principal Software Engineer 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. | Agent | 7 |