Senior Product Manager - Data
@ Monday.com

London, England, United Kingdom
On Site
Full-time
Posted 3 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXXX***** @monday.com
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Job Details

About monday.com

monday.com is a global software company transforming how businesses run with a powerful and adaptable platform used by ~245,000 customers worldwide. With over 2,500 employees globally, the company prioritizes transparency, initiative, and collaboration.

Role Overview

The Senior Product Manager - Data will lead the development of next-generation data modeling and workflow solutions in our London office. This position offers significant impact and ownership over your work in shaping the product's future.

Key Responsibilities

  • Lead product vision and roadmap for data modeling.
  • Drive data-driven product development using customer insights.
  • Collaborate cross-functionally with engineering teams.
  • Manage stakeholder relationships and communications.
  • Measure and optimize workflow-related features.

Requirements

  • 5+ years in product management with a focus on data models.
  • Strong technical background and experience with engineering teams.
  • Experience in building scalable data structures and workflows.
  • Familiarity with databases and tools like Redis and Snowflake.
  • Excellent communication skills and collaborative mindset.
  • Experience in Enterprise SaaS B2B products is a plus.

What monday.com Offers

  • Competitive salary, bonus, and equity incentive program.
  • Private healthcare insurance and ClassPass membership.
  • Buffet breakfast and lunch at the office.
  • Dedicated learning and development programs.
  • Fun team events and an award-winning company culture.

Key skills/competency

Senior Product Manager - Data, data modeling, workflow optimization, product vision, stakeholder management, customer insights, cross-functional collaboration, engineering, SaaS, enterprise

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How to Get Hired at Monday.com

🎯 Tips for Getting Hired

  • Research monday.com's culture: Study their mission, values, and recent news.
  • Tailor your resume: Highlight data and product management expertise.
  • Network strategically: Connect with current employees on LinkedIn.
  • Prepare for technical discussions: Review data modeling and engineering basics.
  • Practice behavioral answers: Reflect on past product leadership challenges.

📝 Interview Preparation Advice

Technical Preparation

Review data modeling fundamentals.
Practice database tool basics.
Study scalable systems design.
Brush up on product metrics.

Behavioral Questions

Describe a past project challenge.
Explain cross-team conflict resolution.
Discuss stakeholder management examples.
Share product vision leadership experiences.

Frequently Asked Questions