---
title: 'Software Engineer - Agentic Solutions (CCO) at monday.com'
canonical: 'https://feeny.ai/job/software-engineer-agentic-solutions-cco-monday-com-tel-aviv-ey6de6hcg0f7'
type: 'job'
last_seen: '2026-10-29'
---

# Software Engineer - Agentic Solutions (CCO) at monday.com

- **Company:** [monday.com](https://feeny.ai/companies/monday-com)
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/monday.com/6707c169-a14d-4179-8bd0-736af4cced47

## Job description

Software Engineer - Agentic Solutions (CCO) CCO · Full-time · Tel-Aviv, IL [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.

## About The Team

The Agentic Solutions team is a development team inside the CCO (Chief Customer Office) business unit. We build customer-facing AI agents and intelligent experiences for the worlds of Customer Success and Customer Experience - the agents that answer, guide, onboard, and solve for [monday.com](http://monday.com)'s 250,000+ customers across Support and Success (and, along the way, make the teams behind them more effective). We're a team of builders with no product managers: every engineer owns the problem, not just the ticket - from understanding the customer need, through design and build, to measuring the impact in production.

## About The Role

We're looking for hands-on builders who write real code, love working with AI, and think like product owners - engineers who want to see their work in front of real customers fast, experiment quickly, and turn ideas into measurable customer value in production. As a Software Engineer in the Agentic Solutions team, you'll design, build, and operate the customer-facing AI agents and intelligent experiences that [monday.com](http://monday.com) customers meet in Support, Success, and across their journey - agents that resolve, guide, onboard, and drive adoption (and, along the way, make our CS and CX teams dramatically more effective). You'll build the full stack around them: the services, integrations, and interfaces that make them work reliably at scale. This is a team with no product managers, so you'll work end to end: understand the customer problem, decide what to build, build it, ship it, measure it, and iterate on real usage. You don't need to be an AI researcher - but you do need to have built with LLMs, to be curious about what's new every week, and to be excited to work with AI every day.

## What You'll Do

- Own customer-facing solutions end to end - from understanding the customer need and defining the experience and success metrics, through design, build, and rollout, to measuring impact on resolution, adoption, and satisfaction
- Design, build, and ship production-grade features across the stack: backend services, APIs and integrations into [monday.com](http://monday.com) and third-party systems (ticketing, knowledge bases, CRM), and the UI customers interact with
- Build AI agents and agentic workflows using LLM APIs, agent frameworks, tool use / MCP, and the [monday.com](http://monday.com) platform - and the infrastructure they run on: data access, tool layers, orchestration, observability
- Shape agent behaviors, tool definitions, context and prompt strategies, and decision logic - then harden them for reliability, safety, and cost in production
- Stay close to the customer: review real conversations, work with CS and Support teams, and understand where AI changes the customer's experience - then prioritize what to build and what not to
- Measure what you ship: define success criteria, run evals against real customer workflows, instrument with clear KPIs, and let the data drive the next iteration
- Use AI-assisted development tools as a core part of how you build, and help the team keep raising the bar on speed and craftsmanship
- Stay ahead of the AI landscape - new models, agent protocols, tooling - and bring what unlocks real customer value into the team
- Our stack: TypeScript, Node.js, React, MySQL, Redis, AWS, LLM APIs (Anthropic, OpenAI, and others), MCP, vector/retrieval stores, [monday.com](http://monday.com) platform (API, apps, agents, workflows)

## Your Experience & Skills

- 3+ years of hands-on experience building full-stack applications in production (TypeScript/Node.js and React or similar)
- Experience building a web application or service from scratch and taking it all the way to production
- Hands-on experience building with LLMs - LLM APIs, tool use / function calling, prompt and context design - ideally in a product that real users touched
- Solid engineering fundamentals: API design, data modeling, integrations via APIs and webhooks, and running services reliably at scale
- Strong product orientation: you care about the experience your code creates, ask why before how, and are comfortable scoping, prioritizing, and making product calls in a team with no product manager
- Fluency with AI-assisted development (e.g. Claude Code, Cursor) as a core part of how you build - you ship faster because of it
- Hungry, self-directed, and energetic - you actively explore new AI tools, experiment, share what you learn, and would rather ship and learn than wait for a perfect plan
- Team player with strong communication skills, comfortable working directly with CS and Support teams and with customers
- Experience with agents in production - agent frameworks / SDKs, MCP, evals and observability, RAG and retrieval - an advantage
- Experience building for Support / Customer Success use cases (support agents, conversational AI) or with the [monday.com](http://monday.com) platform - an advantage
- Degree in Computer Science or equivalent - not a must; we care most about what you've built

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

- Join a customer-obsessed team where transparency and ownership are how we actually operate - not just things we put on a wall
- 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

[monday.com](http://monday.com) is proud to be an equal-opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, military or veteran status, cultural background, religious beliefs, or any other characteristic protected by law.

## 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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