Head of Engineering Operations

Monday.com Monday.com · Enterprise · Tel-Aviv, Israel · R&D

Head of Engineering Operations at monday.com, a rapidly growing AI work platform. This senior leadership role focuses on driving engineering operational excellence, defining frameworks and processes for predictable, high-quality execution, and fostering innovation. A key aspect is adopting AI-powered operational practices to improve engineering planning, execution, and measurement. The role involves leading a central team, mentoring Pillar Operations Leads, and partnering with leadership to scale operations in a complex, high-growth environment.

What you'd actually do

  1. Own and evolve the Engineering Operations strategy, embedding core values of speed, quality, and autonomy into how engineering operates.
  2. Design, implement, and continuously improve lean workflows for planning, execution, and delivery, aligned with Agile principles and scalable growth.
  3. Lead engineering operational readiness for yearly and quarterly planning, OKRs, QBRs, and major cross-organization initiatives.
  4. Define and own engineering execution and health metrics, using data to surface trends, guide leadership decisions, and drive continuous improvement.
  5. Lead the adoption of AI within Engineering Operations, embedding AI into planning, execution, measurement, and operational decision-making to improve productivity and effectiveness at scale.

Skills

Required

  • Engineering Operations
  • R&D Operations
  • Program Management
  • Managerial experience
  • Building and evolving operating models, processes, and teams
  • Understanding of engineering execution, delivery frameworks, and organizational dynamics
  • Leading operational change and navigating organizational transformation
  • Stakeholder management
  • Influence
  • Communication skills
  • Analytical thinking
  • Fluent English

Nice to have

  • Strong understanding of how AI can be applied to improve engineering workflows, execution visibility, decision-making, and operational efficiency

What the JD emphasized

  • 10+ years of experience in Engineering Operations, R&D Operations, Program Management, or similar roles in scaled tech organizations
  • Proven experience working closely with Engineering leadership and large, complex R&D organizations
  • Proven managerial experience
  • Strong understanding of how AI can be applied to improve engineering workflows, execution visibility, decision-making, and operational efficiency - a strong advantage