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Engineering Team Lead - monday Service

Monday.com

Engineering Team Lead - monday Service

Monday.com

Tel-Aviv, Israel

·

On-site

·

Full-time

·

1mo ago

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.

We are looking for a Team Lead with deep AI expertise to lead the development and research behind our Agentic Workforce domain.

In this role, you will own the vision, execution, and impact of intelligent agents at monday Service, bringing the latest advancements in the agentic AI ecosystem to our users’ advantage. You will do so the monday.com way: creating experiences that are simple, personalized, and delightful, while managing complexity through thoughtful product and technical design.

You will lead a cross-functional domain of 7 highly skilled professionals, driving both innovation and delivery. This role includes end-to-end ownership of the domain’s success—from strategy and research through execution and measurable business outcomes.

More information about our product - https://monday.com/w/service

  • Lead a development team - recruiting top talents, mentoring, building processes, engineering culture, etc.

  • Grow a team of talented engineers building & leading the Service product architecture and horizontal services.

  • Lead the research and adoption of new technologies.

  • Be both a technical leader and a people manager.

  • Key member in the group’s leadership forums, overseeing employee development and growth.

  • Experience managing a team and leading projects hands-on from start to finish

  • 2+ years of proven management experience.

  • Experience building web applications from scratch in a production environment

  • Proven experience leading multi-disciplinary teams in AI-heavy domains

  • Strong background in modern AI systems, with hands-on experience in agentic or autonomous architectures

  • Product-minded leadership, with a strong sense of user experience and business impact

  • Ability to operate effectively at both strategic and execution levels in a fast-moving environment

  • Degree in Computer Science (not a must; we're always looking for super talented people)

Engineering Team Lead - monday Service:

We are looking for a Team Lead with deep AI expertise to lead the development and research behind our Agentic Workforce domain.

In this role, you will own the vision, execution, and impact of intelligent agents at monday Service, bringing the latest advancements in the agentic AI ecosystem to our users’ advantage. You will do so the monday.com way: creating experiences that are simple, personalized, and delightful, while managing complexity through thoughtful product and technical design.

You will lead a cross-functional domain of 7 highly skilled professionals, driving both innovation and delivery. This role includes end-to-end ownership of the domain’s success—from strategy and research through execution and measurable business outcomes.

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Monday.com 소개

Monday.com

A platform built for a new way of working.

1,001-5,000

직원 수

Tel Aviv

본사 위치

$7.8B

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.8

보상

2.7

문화

4.3

커리어

3.9

경영진

3.5

78%

친구에게 추천

장점

Flexible hours and schedules

Supportive and collaborative team

Growth and advancement opportunities

단점

Compensation not competitive

Heavy workload and overwhelming pace

Limited remote work flexibility

연봉 정보

2개 데이터

Junior/L3

Junior/L3 · Customer Service Operations

0개 리포트

$64,675

총 연봉

기본급

-

주식

-

보너스

-

$54,974

$74,376

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Take-home Assignment

4

Hiring Manager Interview

5

Final Interview

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Past Experience

Case Study