At a Glance
- Tasks: Manage AI data products and drive innovation in a hybrid work environment.
- Company: Join Red Global, a leader in AI and data solutions.
- Benefits: Competitive contract rate, flexible working, and exposure to cutting-edge technology.
- Other info: Exciting opportunity for growth in a fast-paced industry.
- Why this job: Shape the future of AI products and enhance your career in a dynamic team.
- Qualifications: 5+ years in product management with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Red Global is seeking a Data Product Manager - AI for a hybrid role requiring 3 days onsite in Greater London. The position is an initial 6-month contract and falls inside IR35.
The ideal candidate will have over 5 years of product management experience, particularly with data platforms and AI products. Strong SQL and Python skills, along with the ability to manage product roadmaps and communicate with stakeholders, are essential.
AI Data Product Manager (Hybrid, London) - 6-Month Contract employer: RED Global
Red Global is an excellent employer that fosters a dynamic and innovative work culture, particularly for those passionate about AI and data products. With a focus on employee growth, we offer opportunities for professional development and collaboration in a hybrid environment that balances remote flexibility with valuable in-person teamwork in London. Join us to be part of a forward-thinking team where your contributions will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Product Manager (Hybrid, London) - 6-Month Contract
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Data Product Manager gig.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your experience with data platforms and AI products.
✨Tip Number 3
Showcase your product management experience by bringing examples of successful projects you've led. We want to see how you’ve managed product roadmaps and communicated with stakeholders effectively—make it relatable!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Data Product Manager (Hybrid, London) - 6-Month Contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in product management, especially with data platforms and AI products. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've managed product roadmaps and communicated with stakeholders in the past.
Showcase Your Achievements:When detailing your experience, focus on your achievements rather than just responsibilities. We love to see quantifiable results, so if you’ve improved a process or launched a successful product, let us know!
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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at RED Global
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data platforms and AI products. Be ready to discuss specific projects you've worked on, especially those involving SQL and Python. This will show that you not only understand the technical side but can also apply it in real-world scenarios.
✨Master the Product Roadmap
Prepare to talk about how you've managed product roadmaps in the past. Think of examples where you had to prioritise features or pivot based on stakeholder feedback. This will demonstrate your strategic thinking and ability to adapt, which are crucial for this role.
✨Stakeholder Communication is Key
Since communication with stakeholders is essential, practice articulating your ideas clearly and concisely. Consider how you would explain complex data concepts to non-technical team members. This will highlight your ability to bridge the gap between technical and non-technical audiences.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Prepare by thinking through potential challenges you might face as a Data Product Manager and how you would address them. This will showcase your critical thinking and readiness for the role.
