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 92% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$261k (avg $203k).
Enterprise · B2B data
ZoomInfo currently has 21 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (2), Data Scientist II, Data Scientist III, Finance Systems & AI Lead, Full Stack Engineer. Most positions are in Engineering and Product.
ZoomInfo's active AI hiring is concentrated in: agents (81%), application (10%), data (10%). 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 (10 roles), Canada (7 roles), India (4 roles).
Job postings at ZoomInfo most frequently reference: agent orchestration, model serving, llm observability, rag, tool use.
In the past 30 days, ZoomInfo has posted 15 new AI-related roles. That is a +200% change versus the prior 30 days (5 → 15).
| Title | Stage | AI score |
|---|---|---|
| Principal AI Engineer, Data Principal AI Engineer to own data problems end-to-end, building customer-ready prototypes and applications, and infrastructure to enable faster delivery of data products. Combines technical execution with product instinct, working closely with DevOps and Engineering. Focuses on building reusable patterns and tooling, driving adoption, and identifying high-leverage opportunities. Uses AI tools as an execution layer. | ShipData | 7 |