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- Tasks: Lead the development of AI-driven product features and track success through A/B testing.
- Company: A top retail organisation focused on innovation and ethical AI practices.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a collaborative team and shape the future of personalised shopping experiences.
- Qualifications: Strong analytical skills and experience with AI solutions are essential.
- Other info: Be part of a culture that values experimentation and innovation.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the retail and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for AI-driven solutions.
✨Tip Number 2
Prepare for those interviews by brushing up on A/B testing techniques and success metrics. We want you to be able to discuss how you've used data to drive product decisions and enhance user experiences.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you’ve implemented AI solutions or personalised recommendations. We love seeing how you’ve made an impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about fostering a culture of collaboration and innovation, just like you’ll find in our team.
We think you need these skills to ace Product Manager: AI-Driven Personalised Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI solutions and product management. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven recommendations and how you can contribute to our culture of experimentation. Let us know what makes you tick and why you’d be a great fit for our team.
Showcase Your Analytical Skills: Since this role involves tracking success metrics and A/B testing, make sure to include examples of how you've used data to drive decisions in past roles. We love seeing candidates who can back up their claims with solid evidence!
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 us you’re keen on joining our team!
How to prepare for a job interview at Experimentation Jobs
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those related to personalised recommendations. Be ready to discuss how you've applied AI solutions in your previous roles and how they can enhance shopping experiences.
✨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 you used that data to drive product decisions.
✨Show Your Analytical Skills
Be ready to demonstrate your analytical prowess. Prepare to talk about specific metrics you've tracked in past projects and how you've used data to inform your product roadmap. This will show that you can back up your ideas with solid evidence.
✨Emphasise Collaboration and Ethics
This role values a collaborative team environment and ethical AI practices. Share experiences where you've worked closely with others to achieve a common goal and discuss your views on ethical considerations in AI development.
