monday.com
monday.com

Engineering Team Lead - Agentic System

TLDR

Own the Data, Knowledge, and Context layers powering AI agents and translate agentic strategy into scalable, production-grade systems as the group's senior engineering leader.

monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.

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

About the role

  • Own the architecture and roadmap of the Knowledge & Context platform

  • Build scalable data ingestion pipelines (Gong, Slack, internal systems, etc.)

  • Lead the development of our state-awareness and memory infrastructure

  • Design orchestration and middleware for multi-agent collaboration

  • Manage and mentor a high-performing, AI-native engineering team

  • Serve as the technical authority in cross-functional decision-making

    Requirements

  • 3 years of experience leading engineers while remaining deeply technical

  • Strong background in platform engineering, distributed systems, and data pipelines

  • Hands-on experience with RAG at scale and LLM orchestration frameworks (LangChain, LangGraph, or similar)

  • Proven track record of taking AI products from prototype to production

  • Ability to translate complex architecture into clear execution plans

  • Business-oriented mindset with strong Product partnership

monday.com is an AI work platform that empowers ambitious teams by integrating people, workflows, and AI agents into a single flexible environment. With over 250,000 customers, it enables businesses across various industries to enhance efficiency, adapt to changing needs, and execute tasks effectively, fostering a culture of ownership and innovation.

Founded
Founded 2012
Employees
500+ employees
Industry
computer software
Funding stage
Public
Stock ticker
Publicly traded (MNDY)
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