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- Tasks: Lead the product lifecycle of AI tools and collaborate with data scientists and engineers.
- Company: Global leader in energy and commodities, focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the energy sector with cutting-edge AI technology.
- Qualifications: 3+ years in product management and strong analytical skills required.
- Other info: Join a small, dynamic team tackling significant challenges.
The predicted salary is between 36000 - 60000 £ per year.
A global energy and commodities leader is seeking an experienced AI Product Manager to oversee the product lifecycle of its AI assets. The role involves working closely with data scientists, engineers, and stakeholders across the organization to ensure that AI tools deliver measurable business value.
Candidates should have:
- a minimum of 3 years in product management
- experience with technical products
- strong communication skills
- an analytical mindset
Join a small, collaborative team tackling impactful challenges in the energy sector.
AI Product Manager - Data Science Tools & Roadmap employer: Vitol
Contact Detail:
Vitol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager - Data Science Tools & Roadmap
✨Tip Number 1
Network like a pro! Reach out to folks in the energy and AI sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with AI products. This will help you stand out and demonstrate your analytical mindset to potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common product management questions, especially those related to AI tools. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
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 AI Product Manager - Data Science Tools & Roadmap
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, especially with technical products. We want to see how your skills align with the role of AI Product Manager, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know how you can help tackle those impactful challenges in the energy sector.
Show Off Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your documents well. We want to see that you can convey complex ideas simply and effectively!
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 collaborative team!
How to prepare for a job interview at Vitol
✨Know Your AI Tools
Make sure you’re well-versed in the AI tools and data science methodologies relevant to the role. Brush up on the latest trends and technologies in AI, as well as how they can be applied in the energy sector. This will show your potential employer that you’re not just familiar with the products but also passionate about their impact.
✨Showcase Your Product Management Experience
Prepare specific examples from your past roles where you successfully managed a product lifecycle. Highlight your experience in collaborating with data scientists and engineers, and how you’ve driven measurable business value through your projects. This will demonstrate your capability to handle the responsibilities of the position.
✨Communicate Clearly and Effectively
Strong communication skills are key for this role. Practice articulating complex ideas in a simple way, especially when discussing technical concepts. Be ready to explain how you’ve facilitated discussions between technical teams and stakeholders in the past, as this will be crucial in your new role.
✨Emphasise Your Analytical Mindset
Be prepared to discuss how you approach problem-solving and decision-making analytically. Share examples of how you’ve used data to inform product decisions or improve processes. This will help convey that you have the analytical mindset needed to thrive in a data-driven environment.
