Director of AI Engineering

At JFrog, we’re reinventing DevOps and shaping how software is delivered, helping the world’s leading companies innovate faster and safer. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software”. We’re hiring a Director of Engineering to lead JFrog’s agentic capabilities across the platform, including the JFrog AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software—through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments. As a Director of Engineering at JFrog, you will... Lead the engineering group delivering AI capabilities across the JFrog platform, powering customer-facing agentic experiences at scale Shape the vision and drive the execution for JFrog AI Assistant, MCP Server, and platform-wide agent workflows Ship enterprise-grade AI—secure, reliable, and observable—running in SaaS and self-hosted environments Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact To be a Director of Engineering at JFrog, you need... 10+ years of experience in software engineering, with at least 5 years in leadership roles managing diverse R&D teams Proficiency in Software Development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js Proven track record of delivering scalable cloud / SaaS services, operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments Experience leading AI product (assistants, copilots, LLM-integrated workflows) Exceptional leadership, communication, stakeholder, and customer management skills Passion for empowering developers and enabling productivity through platform engineering DevOps / DevSecOps experience — strong advantage Growth mindset, with continuous learning in AI and agentic technologies