Wiz is currently hiring for nine AI-related roles. The majority of these positions, 89%, are focused on agents, with one role in evaluation. Research is the most frequently sought-after function, followed by product and engineering. The company is hiring in Israel, the United States, and the United Kingdom. Frequently listed technical tags include agent orchestration, evals, and tool use. Wiz has posted two new AI roles in the last 30 days.
Currently tracking 6 active AI roles, up 22% versus the prior 4 weeks. Primary focus: Agent · Research. Salary range $160k–$220k (avg $190k).
Wiz currently has 8 active AI-related roles in our index. The most common open titles are: AI Security Researcher (3), AI Security Researcher , Application Security Product Analyst, Data Scientist Expert, Manager, Solutions Support Engineering - East. Most positions are in Research and Engineering.
Wiz's active AI hiring is concentrated in: agents (88%), evaluation (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Wiz is hiring AI talent in: Israel (4 roles), United States (2 roles), United Kingdom (2 roles).
Job postings at Wiz most frequently reference: agent orchestration, evals, llm observability, tool use, rag.
In the past 30 days, Wiz has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Solutions Engineer, DACH Solutions Engineer responsible for supporting Enterprise / Major customers, partnering with account executives to drive cloud security solutions and act as a trusted advisor for AWS, Azure, and GCP. | — | 5 |
| Senior Solutions Engineer, DACH Senior Solutions Engineer responsible for supporting strategic customers in cloud security, acting as a trusted advisor for AWS, Azure, and GCP. | — | 5 |
| Principal Solutions Engineer - Application Security This role is for a Principal Solutions Engineer focused on Application Security at Wiz, a cloud security company. The role involves working with sales, product, and R&D teams to provide technical expertise, support the sales process, and gather field feedback to improve the Wiz platform. It requires deep knowledge of cloud architecture, AppSec, Kubernetes, and programming languages like Python or Go, with a strong emphasis on customer-facing technical demonstrations and thought leadership. |
| — |
| 0 |