עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Description
About monday.com
At monday.com , we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
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
- 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
- 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.
- 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.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
שאלות ותשובות עבור משרת Engineering Team Lead - Sidekick Group
כ-Engineering Team Lead - Sidekick Group ב-monday.com, תהיה אחראי על בנייה, הובלה וחניכה של צוות מהנדסי Full Stack, תוך טיפוח צמיחה מקצועית ושיתוף פעולה. תעבוד בשיתוף פעולה הדוק עם מהנדסים, מדעני נתונים, מנהלי מוצר ומעצבים כדי לבנות תשתית מוכנה לייצור עבור למעלה מ-2 מיליון משתמשים, ותנהל את עומס העבודה של הצוות ותיאום פרויקטים בסביבה מהירה ומבוזרת.
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