---
title: 'Platform & Knowledge Team Lead at monday.com'
canonical: 'https://feeny.ai/job/platform-knowledge-team-lead-monday-com-tel-aviv-zw2615g6scce'
type: 'job'
last_seen: '2026-10-29'
---

# Platform & Knowledge Team Lead at monday.com

- **Company:** [monday.com](https://feeny.ai/companies/monday-com)
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-25
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/monday.com/2f2102a6-df69-4456-8404-847a1b72884f

## Job description

[monday.com](http://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. Our revenue organization just redesigned itself around AI, not as an add-on, but as the engine. The AI backbone now carries knowledge, learning, content, communications, onboarding and gap resolution across every region, 24/7, without a human dispatcher. We built the prototype ourselves and it works. This role leads the team that turns it into real infrastructure, and sets the standard for what the revenue org is allowed to know. The Center of Revenue Excellence (CORE) is built on a simple premise: AI carries the scale, humans carry the judgment. Platform & Knowledge is the team that owns the machinery and the truth: the agents, the knowledge they answer from, and the learning and content that flow through them. You will lead that team, and you will build alongside it.

## About The Role

- Lead the Platform & Knowledge team. Manage a team of Knowledge Architects, Learning Design Managers, and AI Builders. Set the bar for each craft, grow people into specializations, and build the team's capacity to ship without you in the room.
- Own the AI backbone. Knowledge agents, the Knowledge Command Center and indexing architecture, the content creation engine, communications, AI-centered onboarding, simulation practice, AI-run certifications, and the analytics behind them. You own how each is architected, built, and brought to production.
- Govern the truth. Enforce AI-consumability standards and a single source of truth. Content below standard does not get indexed, and you are the one who says so, first-line, and escalates only when you need leadership backing.
- Run the program supply chain. Every product launch, tech-stack rollout, and process or policy change flows through one pipeline with one definition of done: indexed, governed, and the agent answers correctly.
- Close the loop. Turn question telemetry into gap detection, resolution, and a monthly gap-closure report that is generated, not compiled. Receive bottom-up wins from regional teams, re-author them to standard, and scale them globally, with the originating team keeping credit and a design seat.
- Partner across the company. Run the day-to-day relationship with BigBrain and BizApps engineering, RevOps, Product, and PMM: shared roadmap, integration surfaces, reliability. Pair with Field Revenue Excellence on major initiatives so that you own the what and why, and they own the how and when.
- Build, not just manage. This is a player-coach role. You carry hands-on implementation work on selected top-tier initiatives alongside your leadership responsibilities.

A real example of the work Reps in one region aren't running AI discovery well. Telemetry confirms it's global, not local. Your domain owners scope the gap and define the solution: a new mode for the knowledge agent, "Disco Coach." As Team Lead you make sure the content behind it is verified and governed before it is indexed, you decide the architecture with your AI Builders and engineering partners, and you hold the definition of done: the agent answers correctly, and the gap closes in the data. Then you read the next telemetry report and decide what to fix next.

## Requirements

- 7+ years in B2B SaaS, including 2+ leading a team. You have managed specialists, set standards, and developed people. You do not need to have run a large org, and you have kept building while you led.
- Real AI implementation experience. You have designed and shipped AI systems that people use daily: agents, retrieval and RAG patterns, MCP and integrations, automation. You can make architecture calls, read the trade-offs on cost, accuracy, and reliability, and know where these systems fail.
- Knowledge and enablement fluency. You understand knowledge management, content governance, instructional design, and how people actually learn and find answers at work. Experience with knowledge bases, search, LMS, certification, or simulation tooling is a strong advantage.
- Governance with spine. You can hold a standard, say no, and carry first-line pushback with senior stakeholders, and you know when to escalate.
- Product and program instincts. You can take a problem from 30,000 feet to a sequenced, MVP-first plan, and run a supply chain with a clear definition of done across multiple change types.
- Cross-functional partnership. You have worked with engineering, RevOps, Product, or sales organizations, and you can run a shared roadmap with partners whose priorities you do not control.
- Analytical mindset. You treat telemetry as a product: demand, gaps, trust, and attribution. You measure application, not just consumption.
- Ownership over heroics. You document, you build for handover, and you design teams and systems so that nothing critical depends on one person.
- Strong written and spoken communication in English, for technical and non-technical audiences alike. Experience in or alongside a global revenue organization is a strong advantage, as is familiarity with [monday.com](http://monday.com)'s products.

What [monday.com](http://monday.com) can offer you

- Join a team that redesigned itself from the bottom up and got to keep the design. Transparency and ownership are how we actually operate, not things we put on a wall.
- Lead the function that owns the AI backbone for an entire global revenue organization, with a clear mandate, real decision rights, and executive sponsorship behind it.
- Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide.
- Competitive salary, benefits, bonus potential, and equity eligibility for many roles. We believe people should share in our success.
- Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons. The industry moves quick and so do we.
- A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more.

## About monday.com

## Company Overview
- **One-liner**: monday.com is a global software company that develops a browser-based AI work platform to help teams manage their work, automate processes, and achieve more together.
- **Entity Type**: Public (Nasdaq: MNDY)
- **Headquarters**: Tel Aviv, Israel (with major offices in New York, London, Warsaw, Tokyo, Singapore, Melbourne, and Munich)
- **Founded**: February 2012 (originally as dapulse, rebranded to monday.com in 2017)
- **Founders**: Roy Mann and Eran Zinman

## Core Business
- **Primary industry/industries**: Process management, project management software, productivity software, team management, customer relationship management (CRM), collaborative software
- **Target customers**: B2B - serving over 250,000 customers globally, including over 60% of the Fortune 500
- **Mission or purpose statement**: "Shape how the world works" - helping teams get more work done with AI-powered tools that automate, build, and scale impact end-to-end.

## Products & Services
- **monday.com Work OS**: The core platform, a customizable, no-code work operating system for managing projects, workflows, and processes across teams and departments.
- **monday AI Platform**: An enterprise-grade AI infrastructure that allows users to build and deploy AI agents to automate tasks, with features like simulation mode, full user control, and a guarantee that customer data is never used to train AI models.
- **monday CRM**: A customer relationship management solution built on the Work OS.
- **monday Dev**: A product management tool tailored for software development teams.
- **monday Sales CRM**: A dedicated CRM for sales teams.
- **monday Marketer**: A work management solution for marketing teams.
- **Open API & Integrations**: An open platform allowing third-party developers to build custom views, dashboard widgets, automations, and integrations with other work apps.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. During its last private round in 2019, it was valued at $1.9 billion. The company went public in June 2021.
- **Key Metric**: Over $1.232 billion in annual revenue (2025), with over $1 billion in ARR.
- **Notable Investors/Partners**: Insight Partners, Sapphire Ventures, Hamilton Lane, HarbourVest Partners, ION Crossover Partners, and Vintage Investment Partners were key investors in its growth rounds.
- **Growth Signals**: The company has grown to over 3,155 employees (2025), serves over 250,000 customers, and is trusted by over 60% of the Fortune 500. It is aggressively expanding its AI capabilities with its new AI work platform and agent features.

## Competitive Advantages
- **Platform Stickiness**: monday.com is a highly customizable, no-code platform that becomes deeply embedded in a customer's daily workflows, creating high switching costs.
- **Data Privacy & Trust**: The company explicitly states that customer data is never used to train AI models, a major differentiator for enterprise clients concerned with data security.
- **Enterprise-Grade Security**: Offers robust security, governance, permissions, and compliance features, making it a trusted partner for large organizations.
- **Strong Brand & Scale**: With over 1 billion in ARR and a massive customer base, the company has significant resources for R&D and market expansion.

## Strategic Focus
- **AI-First Platform**: monday.com is pivoting heavily to become "The AI Work Platform for People & Agents," allowing users to build, validate, and deploy AI agents to automate work. This is the company's primary growth vector.
- **Expanding Enterprise Footprint**: Deepening its penetration into large enterprises by offering a secure, scalable, and customizable platform.
- **Product Ecosystem Growth**: Continuously expanding its suite of specialized products (CRM, Dev, Marketer) to capture more of the enterprise software market.

## Why Work Here
- **Product-First Culture**: The company is deeply committed to building intuitive, powerful, and easy-to-use products that solve real customer problems.
- **Impact & Ownership**: Employees are given significant ownership over their work from start to finish, fostering a culture of personal investment and high impact.
- **Hybrid Work Model**: monday.com offers a hybrid work environment, with most teams spending three days a week in the office for collaboration and the rest working remotely.
- **Career Growth**: The company provides learning programs, mentorship, development opportunities, and an internal mobility process to support diverse career paths.
- **Global & Diverse Team**: With 3,000+ employees across 15+ locations and 17 teams, the company offers a truly international and diverse work environment. It is an equal opportunity employer committed to inclusion.
- **Strong Financial Health**: As a profitable, publicly-traded company with over $1B in ARR, monday.com offers stability and long-term growth potential for its employees.

## Sources
1. [monday.com Careers Page](https://monday.com/careers)
2. [monday.com Official Website](https://www.monday.com/)
3. [Built In - monday.com Company Profile](https://builtin.com/company/mondaycom)
4. [Wikipedia - Monday.com](https://en.wikipedia.org/wiki/monday.com)
5. [LinkedIn - monday.com](https://uk.linkedin.com/company/mondaydotcom)

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