At a Glance
- Tasks: Lead the development of AI data products and manage product roadmaps.
- Company: Dynamic tech company at the forefront of AI innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team and thrive in an entrepreneurial culture.
- Why this job: Shape the future of AI while working in a fast-paced environment.
- Qualifications: 5+ years in Product Management with strong AI/ML knowledge.
The predicted salary is between 60000 - 80000 € per year.
Role: Data Product Manager – AI Hybrid role – 3 days onsite in London. Initial 6-month contract.
Required Skills:
- 5+ years of Product Management experience.
- Experience delivering data platforms and AI-enabled products.
- Strong knowledge of AI/ML ecosystems and data platforms.
- Experience with data warehouses, data lakes, feature stores, and MLOps concepts.
- Strong SQL and Python knowledge.
- Experience with data analysis and visualization tools.
- Ability to manage product roadmaps and stakeholder communication.
- Experience working in regulated industries is preferred.
- Strong communication and leadership skills.
- Ability to work in fast-changing and ambiguous environments.
- Strong analytical and problem-solving skills.
- Experience leading cross-functional teams.
- Entrepreneurial mindset with a hands-on approach.
AI Data Product Manager employer: RED Global
As an AI Data Product Manager at our London office, you will thrive in a dynamic and innovative work culture that values collaboration and creativity. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and learning. Join us to be part of a forward-thinking team that is shaping the future of AI and data products in a vibrant city known for its tech advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your experience with AI and data products. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to product management and AI. We recommend using the STAR method to structure your answers – it helps you stay clear and concise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Data Product Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Data Product Manager role. Highlight your 5+ years of Product Management experience and any relevant projects that showcase your skills in AI/ML ecosystems and data platforms.
Showcase Your Skills:Don’t forget to emphasise your strong SQL and Python knowledge! Include specific examples of how you've used these skills in past roles, especially in delivering data platforms or AI-enabled products.
Communicate Clearly:Since strong communication is key for this role, ensure your written application is clear and concise. Use straightforward language to describe your experience managing product roadmaps and stakeholder communication.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at RED Global
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML ecosystems. Be ready to discuss specific projects where you've delivered AI-enabled products, and how you tackled challenges in data platforms. This will show that you’re not just familiar with the concepts but have real-world experience.
✨Showcase Your Product Management Skills
Prepare examples that highlight your 5+ years of product management experience. Talk about how you've managed product roadmaps and communicated with stakeholders. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Demonstrate Your Technical Know-How
Since strong SQL and Python knowledge is a must, be ready to discuss how you've used these skills in past roles. You might even want to prepare for some technical questions or scenarios where you can showcase your analytical and problem-solving abilities.
✨Emphasise Your Leadership and Adaptability
Highlight your experience leading cross-functional teams and working in fast-changing environments. Share stories that demonstrate your entrepreneurial mindset and hands-on approach, as this will resonate well with the company’s culture and expectations.
