Want to get hired at Monday.com?
Senior Product Manager - Data
Monday.com
London, England, United KingdomOn Site
Original Job Summary
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
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
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Review data modeling fundamentals.
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Practice database tool basics.
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Study scalable systems design.
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Brush up on product metrics.
Behavioral Questions
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Describe a past project challenge.
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Explain cross-team conflict resolution.
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Discuss stakeholder management examples.
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Share product vision leadership experiences.