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- Tasks: Lead personalisation strategies and collaborate with data experts to enhance customer experiences.
- Company: A leading online greeting card service known for innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of e-commerce with impactful personalisation and recommendations.
- Qualifications: Experience in data-driven products and strong technical skills required.
- Other info: Join a dynamic team focused on creativity and customer satisfaction.
The predicted salary is between 43200 - 72000 £ per year.
A prominent online greeting card service is seeking a Senior Product Manager to steer personalisation and recommendations across the customer journey. The ideal candidate will have proven experience in data-driven products, machine learning, and strong technical fluency.
Responsibilities include:
- Leading the strategy for personalisation
- Collaborating with Data Scientists and ML Engineers
- Translating business objectives into actionable outcomes
This role requires a commercially minded leader with a track record of delivering impacts in e-commerce.
Senior Product Manager, Personalization & Recommendations employer: Moonpig
Contact Detail:
Moonpig Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager, Personalization & Recommendations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Showcase your skills! When you get the chance to meet potential employers, be ready to discuss your past projects and how you've used data-driven strategies to make an impact. Bring examples that highlight your experience with personalisation and recommendations.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products. Understand their current personalisation strategies and think about how you could enhance them. This shows you're not just interested in the role but are genuinely invested in their success.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you nail that application process. Plus, it gives us a better chance to see your profile and connect with you directly.
We think you need these skills to ace Senior Product Manager, Personalization & Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data-driven products and machine learning. We want to see how you've led strategies in personalisation before, so don’t hold back on those details!
Showcase Your Impact: When writing your cover letter, focus on the impact you've made in previous roles, especially in e-commerce. We love seeing quantifiable results, so if you’ve boosted engagement or sales, let us know!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
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’s super easy!
How to prepare for a job interview at Moonpig
✨Know Your Data
As a Senior Product Manager, you'll need to demonstrate your understanding of data-driven products. Brush up on key metrics and analytics tools relevant to personalisation and recommendations. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Technical Fluency
This role requires strong technical skills, so make sure you can speak the language of Data Scientists and ML Engineers. Familiarise yourself with machine learning concepts and be prepared to explain how you've collaborated with technical teams to deliver successful projects.
✨Align with Business Objectives
The interviewer will want to see how you translate business goals into actionable strategies. Prepare examples of how you've aligned product development with commercial objectives in previous positions, especially in e-commerce settings.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in personalisation projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
