Monday.com

Lead the engineering team responsible for the Vibe Agent, an AI engine that understands user intent, generates code, iterates on feedback, and ships working apps within the monday.com platform. The role involves day-to-day team leadership, owning delivery, partnering on technical direction, driving quality improvements, and recruiting talent. Requires hands-on experience deploying LLMs or AI Agents in production.

AI Engineer at Monday.com's New Ventures team, focusing on building AI-native products from scratch. The role involves architecting and implementing autonomous agents, agent orchestration frameworks, and owning the full lifecycle of model quality, including experimentation, evaluation, and production monitoring. Requires strong software engineering skills and experience with LLM tooling, RAG, vector databases, and agent-based systems.

The role focuses on leveraging generative AI and data science to build AI-powered developer experience tools within monday.com. It involves end-to-end AI research and development, including prompt engineering, RAG pipelines, and multi-agent architectures, with a focus on production deployment and performance evaluation.

Engineering Team Lead for an 'Agentic OS' group focused on building a unified agent architecture for enterprise-level AI services. The role involves owning the data, knowledge, and context layers, building scalable data ingestion pipelines, leading development of state-awareness and memory infrastructure, designing orchestration and middleware for multi-agent collaboration, and managing an AI-native engineering team. Requires experience in platform engineering, distributed systems, data pipelines, RAG at scale, LLM orchestration, and taking AI products to production.

Lead the development and research for the Agentic Workforce domain at monday.com, owning the vision, execution, and impact of intelligent agents. This role involves leading a cross-functional team, driving innovation, and delivering measurable business outcomes with a focus on user experience and product design.

Engineering Team Lead at monday.com to own and develop the technical foundation for the company's marketing engine, focusing on Agentic Marketing. The role involves leading a team, designing and building scalable server-side systems, architecting multi-agent systems using frontier models, and driving the adoption of AI in marketing campaigns, ad generation, and content creation.

Engineering Team Lead for an AI R&D group focused on implementing generative AI capabilities within the monday.com platform. The role involves leading a team of Full Stack engineers, building production-ready infrastructure for LLMs and AI Agents, and enhancing the data layer to support AI features for millions of users.

Software Engineer to build and own the Agentic SDLC ecosystem, integrating autonomous agents across the R&D lifecycle to automate and improve software delivery velocity and quality.

AI Engineering Tech Lead at monday.com focused on building AI-driven developer tooling, prototyping agents and workflows, and optimizing internal R&D efficiency. The role involves end-to-end ownership of AI tools to automate and optimize engineers' daily lives, leveraging LLMs and agentic frameworks within a CI/CD environment.

DevOps Engineer to join the BigBrain group, responsible for building and operating monday.com's Data Platform and leading internal AI innovation. The role involves owning and scaling infrastructure for billions of daily events, including streaming pipelines, data orchestration, and the AI Gateway and ML inference platform. Key responsibilities include deploying and maintaining AI infrastructure, driving automation with AIOps agents, building CI/CD pipelines, ensuring data security, and evolving the data platform.

Engineering Group Lead responsible for building and integrating core communication channels between human teams and AI agents within the monday.com AI work platform. The role involves leading engineering teams, defining strategy and roadmap, mentoring managers, and driving the adoption of agentic workflows and AI-first thinking.

This role focuses on implementing GenAI solutions and orchestrating AI-powered agents to create a knowledge layer and improve BI division efficiency. It involves building LLM-powered workflows and ensuring data accuracy and accessibility.

Tech Lead for Agent Labs at monday.com, responsible for building early-stage AI startups within the monday.com ecosystem. The role involves shaping new products from inception, implementing backend infrastructure for AI/GenAI capabilities, architecting and optimizing ML/DL model deployment and serving, and collaborating with data scientists to transition models to production. Requires a strong builder mentality, deep technical ownership, and a founder-like mindset.

Senior Data Scientist to own and drive marketing and growth data science, setting technical direction and shaping how data science is used. Role involves owning production ML models for acquisition, monetization, and retention, leading experimentation infrastructure, guiding analyst teams, training business teams, and driving adoption of LLM-based and agentic workflows into production. Focus on end-to-end problem ownership, balancing quick wins with long-term bets, and proactively identifying high-leverage opportunities.

Seeking an experienced AI Engineering Tech Lead to design and develop scalable AI infrastructure, build AI agents and workflows, and own full-stack systems that transform data into actionable insights for internal customers. The role involves integrating AI solutions, mentoring junior engineers, and operating in ambiguous problem spaces.

Senior Software Engineer to join the Customer Intelligence team, building products, AI agents, and workflows that empower employees to make better, data-driven decisions. The role involves designing, building, and owning systems that transform customer and business data into actionable insights, and integrating AI agents and agent-driven workflows. The focus is on building full-stack products and platforms that teams rely on for decision-making, owning systems from data ingestion to user-facing experiences.