At monday.com, we’re on a mission to revolutionize how teams work by building flexible solutions that help organizations optimize their workflows. Our work OS enables teams to create custom workflows, automate processes, and gain real-time insights into their work.

We are rapidly expanding our London office and looking for a Senior Product Manager to lead the development of our next-generation data modelling and workflow solutions. As one of the first product managers in our London office, you will have a significant impact and ownership over your work—this is an incredible opportunity to shape our product's future! 🚀

Please note this is a hybrid position of 3 days/week in our London office (Fitzrovia).

#LI-DNI

As a Senior Product Manager in the Data Platform organisation, you will drive the development and evolution of data modelling systems that define how our platform supports complex team workflows. You will be responsible for structuring and organizing the underlying data models that allow users to build relationships between tasks, teams, and projects, all while ensuring scalability and performance across large organizations.

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.
• Automation and scalability: Develop solutions that help users automate cross-functional workflows and processes, enabling teams to work more efficiently at scale.
• 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.

• 5+ years of product management experience, with a focus on data models.
• 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.
• Previous experience leading Enterprise SaaS B2B products is a plus.
• You are a quick learner who adapts well and thrives in fast-paced, ever-changing environments.

What monday.com can offer you:

• Opportunity to join a well-funded and successful company with big ambitions and potential, competitive salary, bonus and equity incentive program.
• Private healthcare insurance with Vitality.
• ClassPass membership.
• Buffet breakfast and lunch are offered at the office from Monday to Thursday.
• A fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills.
• Fun team events, socials and offsites.
• We have an amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named the "Best Place to Work" in the UK.
• A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Kiev, Sydney, São Paulo, and Tokyo.

The Product Team is a group of innovative individuals who are passionate about building impactful, state-of-the art products and thrive in a hyper-growth and problem-solving environment. Our work not only shapes our entire platform, it also influences the day-to-day of more than 100,00 businesses (and counting) which rely on monday.com.