At a Glance
- Tasks: Define the roadmap for AI-driven product features and track success metrics.
- Company: Leading retail organisation focused on innovation and ethical AI practices.
- Benefits: Competitive salary, collaborative team environment, and opportunities for professional growth.
- Why this job: Drive innovations that enhance personalised shopping experiences with cutting-edge AI technology.
- Qualifications: Strong analytical skills and experience in AI solutions required.
- Other info: Join a culture of experimentation and make a real impact in retail.
The predicted salary is between 36000 - 60000 £ per year.
A leading retail organization is seeking a Product Manager – Recommendations & AI to define the roadmap for AI-driven product features. The role involves tracking success metrics through robust A/B testing and fostering a culture of experimentation. Ideal candidates will possess strong analytical skills and experience in AI solutions, ready to drive innovations that enhance personalized shopping experiences. This is an opportunity to work within a collaborative team committed to ethical AI practices.
Product Manager: AI-Driven Personalised Recommendations in London employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager: AI-Driven Personalised Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the retail and AI space on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your analytical skills! Prepare to discuss past projects where you used A/B testing to drive results. We love seeing how you’ve made data-driven decisions.
✨Tip Number 3
Get familiar with ethical AI practices. Brush up on the latest trends and challenges in AI to demonstrate your commitment to responsible innovation during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make a difference.
We think you need these skills to ace Product Manager: AI-Driven Personalised Recommendations in London
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you've used data to drive decisions in the past, especially if it relates to AI solutions or product features.
Emphasise Collaboration: Since we value teamwork, don’t forget to mention any collaborative projects you've been part of. Share how you’ve worked with others to foster a culture of experimentation and innovation.
Be Specific About Your Experience: When detailing your experience, be specific about your role in A/B testing and how you tracked success metrics. We love candidates who can provide concrete examples of their impact on product development.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Experimentation Jobs
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI-driven solutions, especially those related to personalised recommendations. Be ready to discuss specific examples of how you've used AI in past projects and the impact it had on user experience.
✨Master A/B Testing
Since tracking success metrics through A/B testing is crucial for this role, come prepared with examples of tests you've conducted. Discuss what you learned from them and how they influenced product decisions. This shows your analytical skills in action!
✨Show Your Collaborative Spirit
This position emphasises teamwork, so be ready to share experiences where you worked closely with others. Highlight how you fostered a culture of experimentation within your team and how that led to innovative solutions.
✨Emphasise Ethical AI Practices
Given the focus on ethical AI, be prepared to discuss your views on responsible AI use. Share any experiences where you prioritised ethical considerations in your work, as this will resonate well with the company's values.