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monday.com is an AI work platform serving 250,000+ customers. The People & Interactions (P&I) team owns the communication and interaction layer, including notifications pipeline, updates and communication infrastructure, email delivery, third-party integrations, and form-building functionality. The team already ships AI features such as Write with AI, Updates AI Summarizer, Quick Reply with AI, and AI Form Builder, with plans to expand significantly. Systems process tens of millions of events per day, making scale, latency, and reliability constant engineering challenges.
In this role, you will design, build, and ship AI-powered features in the communication and notifications domain. You'll architect and improve high-throughput async systems, driving performance and reliability at scale through lasting architectural improvements. You'll work across the full stack using modern technologies to create delightful user experiences, collaborating with product, design, and cross-functional teams to deliver customer-facing AI experiences. You'll also shape technical direction around API design, AI model integration patterns, and the evolution of the event-driven architecture.
REQUIREMENTS:
- 5+ years of software engineering experience with a track record of shipping production features at scale
- Proficiency in server-side and client-side development (TypeScript, Node.js, React, or similar)
- Experience building and operating distributed, event-driven systems and background workers at scale
- Strong observability mindset—ability to trace latency or reliability issues end-to-end using logs, metrics, and traces
- Drive engineering excellence, reliability, and performance across fast-moving codebases
- Strong communication skills, team mindset, and empathy
NICE TO HAVE:
- Hands-on experience integrating LLMs or AI/ML models into production software (prompt engineering, streaming APIs, cost/latency tradeoffs)
- Experience building notification systems or third-party platform integrations at scale
- Familiarity with GraphQL APIs, ideally in a federated architecture
- Comfortable working across both backend systems and product-facing features
