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Engineering Tech Lead - AI

Monday.com

Tel-Aviv, Tel-Aviv District, IsraelOn Site

Original Job Summary

Engineering Tech Lead - AI at monday.com

We are monday.com, a global software company transforming how businesses run. Our product suite adapts to diverse industries, empowering ~245,000 customers to reimagine work, drive efficiency, and scale like never before.

About the Role

Join our new AI R&D group and play a crucial role in implementing generative AI capabilities within the monday.com AI platform. You will define strategy for using LLMs, lay the foundation for cross-team implementation, and help productize these innovations as a core part of our platform offering.

Responsibilities

  • Provide technical leadership within an R&D domain.
  • Evolve product architecture for growing scale and usage.
  • Collaborate with engineers, data scientists, product managers, and designers.
  • Build production-ready infrastructure for over 2 million users.
  • Work with our tech stack: Typescript, React, Node.js, MySQL, Elastic search, and Redis.

Requirements

  • Strong end-to-end technical skills on both client and server sides.
  • Experience in production-level high scale services and data modeling.
  • Proven technical leadership capable of nurturing team excellence.
  • Familiarity with LLMs is an advantage.

Key skills/competency

  • Technical Leadership
  • Generative AI
  • LLMs
  • Architectural Design
  • Full Stack Development
  • Scalability
  • Data Modeling
  • Team Collaboration
  • JavaScript
  • R&D

How to Get Hired at Monday.com

🎯 Tips for Getting Hired

  • Research monday.com's culture: Study their mission, values, and latest news.
  • Customize your resume: Highlight full stack and AI leadership experience.
  • Showcase technical projects: Emphasize production-scale service work.
  • Prepare for cross-team interviews: Practice technical, design, and leadership questions.

📝 Interview Preparation Advice

Technical Preparation

Review Typescript and React fundamentals.
Practice Node.js and database design patterns.
Understand scalability and infrastructure design.
Study LLM usage in production systems.

Behavioral Questions

Explain a challenging technical leadership scenario.
Describe a successful team collaboration experience.
Discuss managing conflicting project priorities.
Share an instance of innovative problem solving.