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
Requirements3 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
Skills Required
- 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
What the Team is Saying
monday.com Compensation & Benefits Highlights
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Retirement Support — A 401(k) with a guaranteed 3% company contribution regardless of employee deferral, plus equity eligibility and an ESPP, strengthens long‑term financial security. This flat contribution adds predictable value alongside stock programs.
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Parental & Family Support — Up to 13 weeks fully paid parental leave for all caregivers, adoption assistance, and an onsite mother’s room indicate robust family support. Access to fertility support is also described.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks include free in‑office breakfast, a monthly meal stipend around $300, a commuter stipend around $130, snacks, and a monthly wellness stipend, alongside 12 EAP sessions. These allowances complement medical, dental, vision, life, and disability insurance.
monday.com Insights
What We Do
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.
Why Work With Us
At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model!
