招聘
We are the Tech & AI group within Monday’s Customer organization, building the “Agentic OS” - a unified agent architecture that delivers enterprise-level service through AI.
As the Engineering Team Lead - Agentic System, you will own the Data, Knowledge, and Context layers that power our agents. This is the most senior engineering role in the group, responsible for translating agentic strategy into scalable, production-grade systems.
You will partner closely with Product to build the orchestration engine behind our AI agents, enabling true state-awareness and persistent memory across agents
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Own the architecture and roadmap of the Knowledge & Context platform
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Build scalable data ingestion pipelines (Gong, Slack, internal systems, etc.)
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Lead the development of our state-awareness and memory infrastructure
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Design orchestration and middleware for multi-agent collaboration
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Manage and mentor a high-performing, AI-native engineering team
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Serve as the technical authority in cross-functional decision-making
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3 years of experience leading engineers while remaining deeply technical
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Strong background in platform engineering, distributed systems, and data pipelines
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Hands-on experience with RAG at scale and LLM orchestration frameworks (Lang Chain, Lang Graph, or similar)
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Proven track record of taking AI products from prototype to production
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Ability to translate complex architecture into clear execution plans
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Business-oriented mindset with strong Product partnership
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关于Monday.com

Monday.com
PublicA 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 · Data Analyst
0份报告
$83,650
年薪总额
基本工资
-
股票
-
奖金
-
$71,103
$96,197
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
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