- Work model
- Office
- Experience
- 4+ years
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 2 tags
Technology context
2Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
About monday.com
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition
About the team
We are seeking experienced Team Lead to join our AI R&D group within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform, including defining the strategy of using LLMs, creating the foundation for cross teams implementation and productizing it as part of our platform offering
About the role
- Build, lead, and mentor a team of Full Stack engineers, fostering professional growth and collaboration
- Working closely with engineers, data scientists, product managers and designers to build production-ready infrastructure for more than 2 million users
- Manage team workload, project resourcing & coordination in a fast-paced, highly distributed environment.
- Implement backend infrastructure that supports generative AI capabilities, enabling both internal and external developers to easily integrate and leverage AI-powered features within monday.com's ecosystem
- Enhance monday data layer to create a dynamic, customizable layer that supports any application and use-case
- Evolve our architecture and engineering to support the ever growing scale of users, features and data
- Collaborate with cross-functional teams to integrate data solutions seamlessly into the platform and support diverse use cases
- Our stack - node.js, React, Cassandra, Kafka, CDC, MySQL
Requirements
- 4+ years of experience managing full-stack engineering teams and leading projects end-to-end.
- Hands-on experience deploying LLMs or AI Agents in production environments- MUST.
- Exceptional communication and interpersonal skills, capable of effectively conveying technical concepts to both technical and non-technical stakeholders.
- A growth mindset, including strong analytical, inquisitive, and data-driven experiences
- Adept at working in fast-paced, dynamic environments, with the ability to adapt to changing priorities and requirements
- Proven problem-solving skills, with the ability to break down complex requirements into actionable tasks.