Cyera
Vertical AI · Data security AI
Vertical AI · Data security AI
Cyera currently has 10 active AI-related job listings. The majority of these roles, 50%, are focused on agents. The top hiring function is Engineering, with 6 positions. The company is primarily hiring in Israel, with 7 roles, and the United States, with 2 roles. Frequent tech tags include agent orchestration, LLM observability, and RAG.
Currently tracking 8 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$185k (avg $168k).
Cyera currently has 14 active AI-related roles in our index. The most common open titles are: Principal AI Technologist - UK (2), AI Research Team Lead, AI Researcher, Data Scientist, Full Stack Team Lead - AI team. Most positions are in Engineering and Research.
Cyera's active AI hiring is concentrated in: agents (71%), data (21%), serving infrastructure (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cyera is hiring AI talent in: Israel (8 roles), United States (3 roles), United Kingdom (2 roles).
Job postings at Cyera most frequently mention: Text Classification, LLM Evaluation & Grading, Content Generation, Agentic Systems, Vue.js.
In the past 30 days, Cyera has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Research Team Lead Lead and mentor an AI research team focused on data security, driving strategy, and overseeing the end-to-end research lifecycle from problem framing to production deployment. Develop and evaluate deep learning and NLP solutions, including agentic workflows and ML models for classification and analysis, ensuring rigorous evaluation and alignment with business objectives. | AgentData | 9 |
| AI Researcher AI Researcher focused on developing and productionizing ML/AI models for data security, including sensitive data classification and agentic workflows. Owns the end-to-end lifecycle from problem framing to deployment and monitoring, with a strong emphasis on rigorous evaluation. | AgentData | 9 |
| Post-trainAgent |
| 8 |
| Data Scientist Research Data Scientist role focused on developing and productionizing ML/AI models for sensitive data classification and security within an enterprise AI context. The role involves the full ML lifecycle, from data strategy and feature engineering to model development, evaluation, deployment, and monitoring, with a strong emphasis on LLM applications and NLP solutions. | DataPost-train | 8 |
| Full Stack Team Lead - AI team Lead a team of full-stack engineers to build and ship production-grade AI agents, including agent workflows, tool integrations, orchestration, memory, and safe execution capabilities. Work with large-scale datasets to extract insights delivered through AI, APIs, and user experiences. Collaborate with product, design, and other engineering teams to integrate AI capabilities across the platform. | Agent | 7 |
| Product Manager, AI Security Product Manager for AI Security, focusing on enabling customers to safely adopt AI. The role involves defining enterprise-grade AI security from scratch, covering discovery, governance of AI agents and models, and data protection in the context of AI. Requires understanding of AI trends, security, and enterprise operations to translate customer needs into product decisions. | Agent | 7 |
| Senior Full Stack Engineer - AI Team Senior Full Stack Engineer to build customer-facing agentic solutions powered by LLMs and advanced AI models for a security platform. The role involves full-stack development, integrating AI capabilities with security context to help customers understand risk and operate more securely. | Agent | 7 |