Top AI & Machine Learning Jobs

Lead vision and roadmap for an AI-powered no-code app builder. Drive ideation, prototyping, and validation of generative AI features. Lead cross-functional teams to deliver and scale product impact, define success metrics, and partner with GTM and customer success to drive adoption and integrations across the monday platform.

Lead org-wide adoption of AI across 100+ Product Managers by defining AI-for-Product strategy, launching high-value AI workflows, enabling adoption through playbooks and training, partnering cross-functionally, establishing responsible AI guardrails, and measuring impact to iterate and scale.

Lead the Knowledge & Context platform for agentic systems: design architecture and roadmap, build scalable data ingestion and memory/state infrastructure, create orchestration and middleware for multi-agent collaboration, and manage a high-performing AI-native engineering team while partnering with Product to deliver production-grade systems.

Lead a 4–6 engineer team building the Vibe Agent: translate product priorities into delivery, remove blockers, hire and grow engineers, improve agent quality, and drive technical direction for production LLM/agent deployments.

Design and build AI-native systems and agent orchestration from 0→1. Own model quality lifecycle, evaluation frameworks, production monitoring, and continuous improvement. Rapidly experiment with models, prompts, and architectures, and collaborate with product and engineering to deploy reliable, scalable AI features.

Lead the global AI go-to-market motion: create sales playbooks, enable sellers and marketers, present AI capabilities to customers, drive adoption and pipeline, and align Product, Enablement, and Marketing around AI positioning.

Build, operate, and scale AI and data platform infrastructure including multi-region EKS, streaming pipelines, ML inference, and CI/CD/GitOps. Drive automation (AIOps), ensure security and observability, enable developer self-service, and evolve data systems to support billions of daily events.

Lead product analytics for monday.com Agents: define measurement foundations, design large-scale agent evaluations, translate execution traces into product metrics, align cross-functional teams to optimize agent reliability, latency, and user outcomes, and build governance to monitor guardrails, drift, and security for enterprise-ready autonomous workflows.

Lead transformation of BI into an AI-driven data strategy: design and own a governed semantic knowledge layer, implement GenAI solutions and LLM-powered workflows, orchestrate AI agents, ensure data quality, governance, and self-service insights across the company.

Lead production ML efforts for marketing and growth: build and maintain models (ARR prediction, lead scoring), own experimentation infrastructure, mentor analysts, deploy LLM/agentic solutions, and drive end-to-end impact from ideation through production and adoption.