Lead Product Manager - Engineering AI Experience

Monday.com Monday.com · Enterprise · Tel-Aviv, Israel · Product

Lead Product Manager for Engineering AI Experience at monday.com, focusing on building agentic technology and AI infrastructure for internal developers. The role involves owning product vision, driving adoption, defining and shipping AI-powered workflows, and working with advanced models and frameworks to shape how engineers work.

What you'd actually do

  1. Own product vision and roadmap for developer tools and AI agent infrastructure
  2. Drive adoption across the org: user research, metrics, breakpoint analysis, continuous iteration
  3. Lead cross-organizational initiatives with engineering directors and VPs
  4. Define and ship AI-powered developer workflows — agents, pipelines, integrations with tools like Claude and Cursor
  5. Set quality bars for developer tools and measure impact rigorously

Skills

Required

  • 7+ years in product management, with a Lead-level track record
  • Engineering or technical background — you've written code, led a dev team, or come from a deeply technical role
  • Understand repos, Git, CI/CD pipelines natively
  • Real AI experience — you've worked with AI agents, LLM pipelines, or AI-powered products in practice, not just on slides
  • Adoption-obsessed — you default to talking to users, measuring outcomes, and iterating.
  • Ability to operate independently and lead cross-org initiatives with senior stakeholders

Nice to have

  • Experience in large-scale tech organizations (enterprise, cyber, or equivalent complexity) is a strong plus
  • B2B SaaS or platform product background preferred

What the JD emphasized

  • You'll own the agentic and AI products for developers
  • This is not a strategy-deck role.
  • You'll talk to developers daily, measure everything, find where things break, and fix them.
  • Real AI experience — you've worked with AI agents, LLM pipelines, or AI-powered products in practice, not just on slides
  • Adoption-obsessed — you default to talking to users, measuring outcomes, and iterating. You care more about whether people actually use it than whether the strategy doc is polished

Other signals

  • building agentic technology
  • creating a bridge between AI and everyday workflows
  • own the agentic and AI products for developers
  • build the infrastructure, tools, and agent platforms they need
  • Define and ship AI-powered developer workflows — agents, pipelines, integrations with tools like Claude and Cursor