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职位Monday.com

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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关于Monday.com

Monday.com

A platform built for a new way of working.

1,001-5,000

员工数

Tel Aviv

总部位置

$7.8B

企业估值

评价

4.1

10条评价

工作生活平衡

3.8

薪酬

2.7

企业文化

4.3

职业发展

3.9

管理层

3.5

78%

推荐给朋友

优点

Flexible hours and schedules

Supportive and collaborative team

Growth and advancement opportunities

缺点

Compensation not competitive

Heavy workload and overwhelming pace

Limited remote work flexibility

薪资范围

2个数据点

Junior/L3

Junior/L3 · Customer Service Operations

0份报告

$64,675

年薪总额

基本工资

-

股票

-

奖金

-

$54,974

$74,376

面试经验

2次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Take-home Assignment

4

Hiring Manager Interview

5

Final Interview

常见问题

Behavioral/STAR

Technical Knowledge

Past Experience

Case Study