Related skills
node.js azure java aws pythonš Description
- 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 AIāsecure, reliable, and observableārunning 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
šÆ Requirements
- 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
- Growth mindset, with continuous learning in AI and agentic technologies
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