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- Tasks: Drive the development of AI-powered products and transform trading data into valuable insights.
- Company: Leading eCommerce solutions provider in Greater London with a purpose-driven mission.
- Benefits: 25 days annual leave, enhanced healthcare plans, and opportunities for real ownership.
- Why this job: Shape product strategy and collaborate with engineers and data scientists in a fast-scaling environment.
- Qualifications: Hands-on experience with AI/ML technologies and strong collaboration skills.
- Other info: Join a dynamic team that values learning and innovation.
The predicted salary is between 42000 - 60000 £ per year.
A leading eCommerce solutions provider in Greater London is seeking a Product Manager to drive the development of AI-powered products and services. The role involves transforming vast quantities of trading data into valuable insights and requires hands-on experience with AI/ML technologies.
You will collaborate with engineers and data scientists to build foundational infrastructure while actively shaping product strategy. Join a purpose-driven mission that values collaboration, learning, and real ownership within a fast-scaling product organization.
Benefits include 25 days annual leave and enhanced healthcare plans.
AI Data Product Manager — Build Trade Intelligence employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Product Manager — Build Trade Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and eCommerce. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with AI/ML technologies. Highlight projects where you've transformed data into insights, as this will resonate with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your product management knowledge. Be ready to discuss how you would approach building AI-powered products and your strategies for collaboration with engineers and data scientists.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about our mission. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace AI Data Product Manager — Build Trade Intelligence
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and ML technologies. Share any relevant projects or experiences that highlight your skills in transforming data into insights. We love seeing candidates who are genuinely excited about the field!
Tailor Your Application: Make sure to customise your CV and cover letter to align with the job description. Highlight your experience in product management and how it relates to driving AI-powered products. We appreciate when applicants take the time to connect their background with our mission.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and responsibilities. We value clarity, so make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 RedCloud
✨Know Your AI and ML Inside Out
Make sure you brush up on your knowledge of AI and machine learning technologies. Be ready to discuss how you've applied these in past projects, especially in transforming data into actionable insights. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineers and data scientists, prepare examples that highlight your teamwork and collaboration skills. Think of specific instances where you successfully worked with cross-functional teams to achieve a common goal.
✨Understand the Product Strategy
Familiarise yourself with the company’s product strategy and how AI can enhance their offerings. Be prepared to share your thoughts on potential improvements or new features that could be developed using AI-powered solutions. This shows initiative and a genuine interest in the company's mission.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about the challenges they face in building AI products or how they measure success in their projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your values and career goals.
