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- Tasks: Lead the development of next-gen data modelling and workflow solutions.
- Company: Global software company transforming business operations with innovative products.
- Benefits: Competitive salary, private healthcare, ClassPass membership, and flexible work options.
- Why this job: Make a real impact in a rapidly growing London office with ownership over your work.
- Qualifications: 5+ years in product management with a focus on data models and strong technical skills.
- Other info: Join a fun, collaborative culture recognised as the 'Best Place to Work' in the UK.
The predicted salary is between 36000 - 60000 £ per year.
We aremonday.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. We are rapidly expanding our London office and looking for a Senior Product Manager to lead the development of our next-generation data modeling 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! 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. Please note this is a hybrid position of 3 days/week in our London office (Fitzrovia). About The Role 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. Your Experience
Senior Product Manager - Data employer: monday.com, Israel
Contact Detail:
monday.com, Israel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager - Data
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Getting to know someone inside the company can give you an edge and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by understanding the company's product suite. Dive deep into their data modelling solutions and think about how your experience aligns with their needs. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've driven product vision and collaborated with teams. This will help you stand out and demonstrate your impact.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your enthusiasm for the role can leave a lasting impression. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Product Manager - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Product Manager role. Highlight your product management experience, especially in data models, and don’t forget to mention any relevant tools you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you’re excited about the opportunity at StudySmarter and how your background makes you a perfect fit for our team.
Showcase Your Data-Driven Mindset: Since this role focuses on data modelling and workflow optimisation, be sure to include examples of how you've used data insights to drive product decisions in your previous roles. We love seeing how you think analytically!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows initiative, which we really appreciate!
How to prepare for a job interview at monday.com, Israel
✨Know Your Product Inside Out
Before the interview, dive deep into the company's product suite. Understand how their data modelling and workflow solutions work, and think about how you can contribute to their vision. Being able to discuss specific features and suggest improvements will show your genuine interest and expertise.
✨Showcase Your Data-Driven Mindset
Prepare examples from your past experience where you've used data to drive product decisions. Highlight how you’ve analysed user feedback or performance metrics to optimise workflows. This will demonstrate that you not only understand the importance of data but can also leverage it effectively.
✨Emphasise Cross-Functional Collaboration
Since the role involves working closely with engineering teams and stakeholders, be ready to discuss your experience in cross-functional collaboration. Share specific instances where you successfully aligned different teams towards a common goal, showcasing your communication skills and ability to manage diverse perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the company’s challenges and goals. Inquire about their current data modelling strategies or how they envision the future of their platform. This not only shows your enthusiasm but also your strategic thinking and readiness to contribute.
