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monday.com

Product Analytics - AI Innovation Lead

Reposted 2 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Tel Aviv
Senior level
Remote or Hybrid
Hiring Remotely in Tel Aviv
Senior level
Lead AI innovation initiatives for product analytics by driving data innovation and enhancing analytical efficiency across teams.
The summary above was generated by AI

We are monday.com, a global software company transforming how businesses run. Our product suite adapts to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a collaborative work environment

AI is rapidly transforming the analytics landscape, creating a clear need for a dedicated leader to drive innovation, experimentation, and adoption in a cohesive and standardized manner across all teams.

The Product organization at Monday.com operates at significant scale, encompassing a broad network of product analysts and managers working across diverse domains.

To fully unlock the potential of AI, this role will bridge innovation with execution — empowering product analysts to stay ahead of the curve while improving analytical efficiency, consistency, and business impact.

  • Proven record of driving data innovation at scale and influencing data or analytics strategy across multiple teams.
  • Vast experience as a Technical Analytics Manager, with ownership of analytics innovation or data infrastructure.
  • Hands-on experience implementing or managing AI/ML solutions that enhanced decision-making or analytical efficiency.
  • Strong technical understanding of data architecture, modeling and the analytical ecosystem, with practical knowledge with AI-driven analytics tools (e.g., generative AI, LLMs, code assistants, etc.).
  • Exceptional collaboration and communication skills, with the ability to influence and align multiple stakeholders across Product Analytics, BI, and Engineering.
  • Technological curiosity and adaptability, with a demonstrated capacity for rapid learning and adoption of emerging tools and technologies, especially in AI.

Top Skills

AI
Ai-Driven Analytics Tools
Data Analytics
Data Architecture
Generative Ai
Llms
Ml

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