At a Glance
- Tasks: Lead the development of AI-driven insights from complex data sources.
- Company: Pioneering eCommerce provider in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of trade with cutting-edge AI technology and real ownership.
- Qualifications: Experience with AI/ML products and strong data modeling skills.
- Other info: Join a dynamic team and make a significant impact in emerging markets.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering eCommerce provider in London is seeking a hands-on Product Manager for their Data & AI team. The role involves developing AI-driven insights from complex data sources across emerging markets, contributing to foundational infrastructure. You will turn trading data into predictive insights and lead your product area with real ownership. The ideal candidate has substantial experience with AI/ML products and a keen understanding of data modeling. Join us to shape innovation in trade across markets.
Senior Product Manager, Data & AI Platform employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager, Data & AI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the Data & AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI/ML. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data modelling and predictive insights. Be ready to discuss how you've turned complex data into actionable strategies in your 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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Product Manager, Data & AI Platform
Some tips for your application 🫡
Show Your Passion for Data & AI: When writing your application, let us see your enthusiasm for data and AI! Share specific examples of how you've worked with AI/ML products in the past and how they’ve shaped your approach to product management.
Highlight Your Hands-On Experience: We want to know about your hands-on experience in product management. Be sure to detail your previous roles where you took ownership of projects, especially those involving complex data sources and predictive insights.
Tailor Your Application: Make your application stand out by tailoring it to our job description. Use keywords from the posting, like 'data modeling' and 'predictive insights', to show that you understand what we’re looking for.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Data & AI team.
How to prepare for a job interview at RedCloud
✨Know Your AI and Data Inside Out
Make sure you brush up on your knowledge of AI/ML products and data modelling. Be ready to discuss specific projects where you've used these skills, as well as the impact they had. This will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've turned complex data into actionable insights. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to lead and innovate in the product area.
✨Understand the Company’s Vision
Research the eCommerce provider's mission and recent developments in their Data & AI team. Being able to align your answers with their goals will show that you're genuinely interested in contributing to their success and shaping innovation in trade.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current projects, challenges they face in emerging markets, or how they envision the future of AI in their products. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.