About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About the role:

• Assume ownership of multiple AI/ML solutions and features and deliver value to customers
• Conduct data discovery of big data sources to identify potential applications and address specific problems
• Design, implement and guide end-to-end machine learning pipelines from data processing to orchestration and MLOps
• Think creatively about complex problems and deliver technological Innovation
• Collaborate with others via open discussions, Design Reviews and Code Reviews

Requirements

• M.Sc. in Computer Science, Electrical Engineering, or Mathematics
• 6+ years expertise delivering multiple and scalable ML solutions to production
• Experience in data science tools and libraries including PyTorch/TensorFlow/Keras
• Experience in data visualization, data exploration
• Experience writing code in Agile, CI/CD-based production environments
• Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
• Good knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
• Strong communication and collaboration skills
• Experience in Cyber security solutions is a big advantage
• Experience in graph based and formal verification methods is a big advantage