Senior Engineering Group Lead- AI

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

monday.com is seeking an experienced AI R&D Group Lead to lead our rapidly expanding AI engineering teams. As we integrate AI capabilities across our entire platform, this role is critical in shaping how millions of users worldwide leverage AI in their daily work.Our AI group builds innovative solutions including AI Blocks, Digital Workforce, and core infrastructure components like semantic search and intelligent model selection. We're in hyper-growth, shipping AI features that transform how teams collaborate and automate their work.You'll lead multiple teams responsible for our AI platform that powers AI experiences across all monday.com products - from AI Blocks and Digital Workforce to RAG systems, ML Ops pipelines, and agent frameworks. This is an opportunity to have massive impact on one of the world's leading work management platforms, directly influencing how millions of users experience AI in their daily workflows.

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• Lead and scale our AI R&D group, managing multidisciplinary teams of managers and engineers and researchers working on our AI platform and products, including AI blocks, Digital workforce, and core infrastructure (semantic search, model selection, RAG pipelines).
• Drive the vision and execution of monday.com's AI platform architecture, ensuring it supports our growing suite of AI capabilities while maintaining the performance, reliability, and scalability our customers expect.
• Own the technical strategy for critical AI infrastructure components including RAG systems, ML Ops pipelines, agent frameworks, and model orchestration, ensuring these systems can handle the increasing complexity and scale of AI workloads.
• Foster innovation while maintaining production standards, working closely with AI engineering teams to ship features that directly impact how our users leverage AI in their daily workflows.
• Build and nurture high-performing teams, establishing engineering excellence through best practices in AI/ML development, testing, and deployment while promoting a culture of experimentation and continuous learning.
• Collaborate with product, research, and other R&D groups to align AI infrastructure investments with the company's strategic objectives and customer needs.
• Lead architectural decisions for AI systems that process millions of requests daily, ensuring robust performance, cost efficiency, and seamless integration with monday.com's existing platform.

• 7+ years of experience in software engineering with at least 3+ years leading AI/ML managers & engineering teams that have successfully shipped and maintained production AI applications - must
• Proven track record of building and scaling AI infrastructure components such as RAG systems, ML Ops pipelines, agent orchestration frameworks, or semantic search engines in production environments - must
• Deep technical expertise in modern AI/ML architectures, including experience with LLMs, embedding models, vector databases, and distributed AI systems
• Strong background in building scalable systems, with hands-on experience in cloud platforms, microservices, and high-performance computing environments
• Demonstrated ability to recruit, mentor, and retain top AI engineering talent while building inclusive, high-performing teams
• Excellent communication skills with the ability to translate complex AI concepts to diverse stakeholders and drive alignment across technical and non-technical teams
• Track record of balancing innovation with pragmatism, shipping cutting-edge AI features while maintaining system reliability and performance
• Bachelor's or Master's degree in Computer Science, AI/ML, or related field; PhD is a plus

Engineering Group Lead- AI