
About monday.com
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:
monday Services is expanding into new, AI-native product areas. We're a growing, exceptionally talented engineering group that builds new products from the ground up — combining startup velocity with monday.com's scale and engineering excellence. You'll help build the new best-in-market Agentic service solution, supporting huge scale and a fast-changing product.
About the role:
Build new AI-native products and features from 0→1, iterating rapidly based on user feedback
Work across the stack using modern technologies to create delightful user experiences
Lead and participate in architectural decisions as we scale multiple new product lines
Take full ownership of features from design to implementation, deployment, and monitoring
Partner closely with product and design to shape user workflows and accelerate delivery
Drive engineering excellence, reliability, and performance across fast-moving codebases
Help define best practices for AI-powered product development at monday.com
Requirements:
5+ years of professional software engineering experience, with demonstrated strong technical skills building full-stack applications end-to-end
Deep knowledge of React (Next.js), Node.js, and TypeScript
Experience building features that integrate LLMs or other AI technologies (e.g., OpenAI, Gemini, Claude, Llama)
Experience with testing frameworks (Jest, Playwright, Cypress, etc.)
Experience working with cloud infrastructure (GCP/AWS), CI/CD, deployments, and monitoring
Familiarity with performance optimization and scalability across frontend and backend
Strong communication skills, team mindset, and empathy
Passion for creating user-centered products that customers rely on daily
Nice-to-have:
Experience building AI-native products
Experience with vector embeddings, RAG architectures, or AI inference pipelines
Experience with real-time collaboration, WebSockets, or state-sync frameworks
Familiarity with product discovery, rapid prototyping, or startup environments
#LI-DNI
About monday.com
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:
monday Services is expanding into new, AI-native product areas. We're a growing, exceptionally talented engineering group that builds new products from the ground up — combining startup velocity with monday.com's scale and engineering excellence. You'll help build the new best-in-market Agentic service solution, supporting huge scale and a fast-changing product.
About the role:
Build new AI-native products and features from 0→1, iterating rapidly based on user feedback
Work across the stack using modern technologies to create delightful user experiences
Lead and participate in architectural decisions as we scale multiple new product lines
Take full ownership of features from design to implementation, deployment, and monitoring
Partner closely with product and design to shape user workflows and accelerate delivery
Drive engineering excellence, reliability, and performance across fast-moving codebases
Help define best practices for AI-powered product development at monday.com
Requirements:
5+ years of professional software engineering experience, with demonstrated strong technical skills building full-stack applications end-to-end
Deep knowledge of React (Next.js), Node.js, and TypeScript
Experience building features that integrate LLMs or other AI technologies (e.g., OpenAI, Gemini, Claude, Llama)
Experience with testing frameworks (Jest, Playwright, Cypress, etc.)
Experience working with cloud infrastructure (GCP/AWS), CI/CD, deployments, and monitoring
Familiarity with performance optimization and scalability across frontend and backend
Strong communication skills, team mindset, and empathy
Passion for creating user-centered products that customers rely on daily
Nice-to-have:
Experience building AI-native products
Experience with vector embeddings, RAG architectures, or AI inference pipelines
Experience with real-time collaboration, WebSockets, or state-sync frameworks
Familiarity with product discovery, rapid prototyping, or startup environments
#LI-DNI