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.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
25,000-35,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

we are looking for a Engineering Team Lead - AI Studio Team.
Were looking for a hands-on Engineering Team Lead to join our Studio Team within the Platform Unit.
This role combines people leadership, senior-level engineering across backend and frontend domains, and platform-oriented thinking, and plays a key part in building and scaling Bobs next-generation extensibility and AI-powered experience layer.
As a Team Lead in the Studio team, you will lead a team of engineers while remaining actively involved in designing and implementing scalable systems that enable applications, widgets, workflows, and AI-driven experiences across the platform.
If youre passionate about leading people, shaping technical direction, and staying hands-on while building zero-to-one platform capabilities and AI-native experiences - this role is for you.

Requirements:
7+ years of experience in software engineering with a strong backend or full-stack focus.
3+ years of experience as an engineering team lead in a fast-paced environment.
Strong hands-on experience with modern backend technologies and system design.
Proven experience building and maintaining scalable distributed systems or platform capabilities.
Experience working with cloud platforms (AWS or equivalent).
Solid understanding of modern frontend technologies (e.g., React, component-based architecture).
Ability to balance technical depth, people leadership, and product/platform thinking.
Excellent communication skills in English (Hebrew is a plus).
Passion for both people management and hands-on engineering.
Nice to Have:
Experience building or operating AI / LLM-based systems in production.
Experience with extensibility platforms, APIs, or developer ecosystems.
Familiarity with workflow engines, orchestration systems, or event-driven architectures.
Background in developer experience (DevX), internal platforms, or shared services.
Experience with dynamic UI systems or design systems.
Experience mentoring engineers or leading internal guilds / tech forums.

This position is open to all candidates.