Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the product lifecycle for AI tools and collaborate with data scientists and engineers.
- Company: Join Vitol, a global leader in energy and data science innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of a global team tackling exciting industry challenges.
- Why this job: Make a real impact by driving user adoption of cutting-edge AI products.
- Qualifications: 3+ years in product management with a focus on technical products.
The predicted salary is between 60000 - 80000 £ per year.
Vitol in Greater London is seeking a pragmatic AI Product Manager to lead the product lifecycle for their AI assets. This hands-on role involves managing collaboration among data scientists, engineers, and stakeholders in trading and operations. The successful candidate will ensure AI tools deliver value and will be responsible for defining the product vision, capturing requirements, and driving user adoption.
A minimum of 3 years in product management with technical products is required. Join Vitol's global Data Science team and tackle industry challenges.
AI Product Manager for Data Science Tools in London employer: Vitol
Contact Detail:
Vitol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager for Data Science Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Vitol or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills! When you get the chance to meet potential employers, be ready to discuss your past projects and how they relate to AI product management. We want to see your hands-on experience shine!
✨Tip Number 3
Prepare for interviews by understanding the company’s products and challenges. Dive deep into Vitol's AI tools and think about how you can add value. This will show you're genuinely interested and ready to hit the ground running.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace AI Product Manager for Data Science Tools in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and product management shine through. We want to see how your passion aligns with our mission at Vitol and how you can contribute to our Data Science team.
Highlight Relevant Experience: Make sure to detail your experience in product management, especially with technical products. We’re looking for someone with at least 3 years in the field, so don’t hold back on showcasing your achievements and how they relate to the role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, we want to understand how you can add value to our team!
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 you’re keen on joining our team!
How to prepare for a job interview at Vitol
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to data science tools. Be prepared to discuss how you've previously managed AI products and the impact they had on user adoption.
✨Showcase Collaboration Skills
Since this role involves working closely with data scientists, engineers, and stakeholders, be ready to share examples of how you've successfully collaborated in cross-functional teams. Highlight specific projects where your collaboration led to successful outcomes.
✨Define Your Product Vision
Think about what a strong product vision looks like for AI tools in the trading and operations space. Be prepared to articulate your vision during the interview and how you would align it with the company's goals.
✨Prepare for Technical Questions
Given the technical nature of the role, expect questions that assess your understanding of product management in tech environments. Brush up on key methodologies and be ready to discuss how you've captured requirements and driven user adoption in past roles.