Lead Product Manager - Data
monday.com · Tel Aviv-Yafo, Tel Aviv District, Israel
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- On site
- Full-time
- $150,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Lead data modeling and workflow solutions development.
- Drive platform evolution and data transformation.
- Collaborate with engineering on scalable data structures.
- Manage stakeholders for product goal alignment.
- Optimize features using user data and insights.
About the role
About monday.com
We are monday.com, a global software company transforming how businesses run. Our product suite can adapt 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 work environment built on collaboration.
About The Role
We are looking for a Senior Product Manager to lead the development of our next-generation data modeling and workflow solutions. As a Senior Product Manager in the Data Platform organisation, you will drive the development and evolution of data modeling systems that define how our platform supports complex team workflows. You will drive the processes transforming data at monday, and own cross-platform cascading effects and workflows.
Key Responsibilities
- Lead product vision and roadmap: Define and implement the strategy for data modelling and workflow optimization across the platform, ensuring it supports complex organizational needs.
- Data-driven product development: Use customer insights, data trends, and feedback to continuously optimize how users create and manage their workflows on monday.com.
- Cross-functional collaboration: Work closely with engineering teams to design scalable data structures that model complex team interactions, workflows, and project dependencies.
- Stakeholder management: Partner with internal and external stakeholders to ensure alignment on product goals and maintain clear communication throughout the product lifecycle.
- Measure and optimize: Analyze user data and platform performance to refine and improve workflow-related features and functionalities.
Requirements
- 7+ years of product management experience
- Strong technical background and experience working with engineering teams to develop data-driven products.
- Proven ability to build and scale data structures that support complex workflows and organizational processes.
- Experience with databases and tools like Redis, Snowflake, or similar, to handle large-scale data management.
- Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.
- A passion for enhancing team productivity through innovative product solutions.
- You are a quick learner who adapts well and thrives in fast-paced, ever-changing environments.
Key skills/competency
- Product Management
- Data Modeling
- Workflow Optimization
- Data-driven Product Development
- Cross-functional Collaboration
- Stakeholder Management
- Technical Background
- Databases
- Redis
- Snowflake
Skills & topics
- Product Management
- Data Modeling
- Workflow Optimization
- Data Platform
- Software Development
- Agile
- Roadmap
- Stakeholder Management
- Technical Product Management
- SaaS
How to get hired
- Tailor your resume: Highlight your 7+ years of product management experience, technical background, and success in building scalable data structures for complex workflows. Emphasize your experience with databases like Redis or Snowflake and your passion for team productivity.
- Showcase data expertise: Demonstrate your ability to use customer insights and data trends to drive product development. Provide examples of how you've analyzed user data to optimize features.
- Prepare for technical discussions: Be ready to discuss your experience working with engineering teams on data-driven products and your understanding of databases and data management at scale.
- Articulate collaboration skills: Prepare examples of how you've effectively managed stakeholders and collaborated across technical and non-technical teams to achieve product goals.
- Demonstrate adaptability: Highlight your quick learning ability and your success in fast-paced, ever-changing environments.
Technical preparation
Understand data modeling principles.,Review Redis and Snowflake documentation.,Prepare to discuss data structure scaling.,Practice explaining technical concepts clearly.
Behavioral questions
Describe a complex data problem you solved.,How do you prioritize product roadmaps?,How do you collaborate with engineering teams?,Share an example of driving product change.
Frequently asked questions
- What are the key responsibilities for a Lead Product Manager - Data at monday.com?
- The Lead Product Manager - Data at monday.com will define and implement the strategy for data modeling and workflow optimization, drive data-driven product development using customer insights and data trends, collaborate with engineering on scalable data structures, manage stakeholders, and analyze performance to optimize features.
- What technical skills and experience are required for this Lead Product Manager - Data role at monday.com?
- This role requires 7+ years of product management experience, a strong technical background working with engineering teams, proven ability to build and scale data structures for complex workflows, and experience with databases like Redis or Snowflake. Excellent communication and adaptability are also essential.
- How does monday.com foster employee growth and collaboration for its Lead Product Manager - Data?
- monday.com prioritizes transparency and knowledge sharing, valuing impact over hours worked. They encourage initiative and fresh thinking, backing employees with flexible work options, wellness support, and a collaborative environment.
- What is the expected impact of the Lead Product Manager - Data on monday.com's platform?
- The Lead Product Manager - Data will drive the development of next-generation data modeling and workflow solutions, directly impacting how the platform supports complex team workflows and transforming data processes across the entire monday.com platform.
- What kind of data-related tools and technologies are relevant for the Lead Product Manager - Data at monday.com?
- Experience with databases and data management tools such as Redis, Snowflake, or similar technologies is highly relevant for handling large-scale data management and building scalable data structures.