At a Glance
- Tasks: Lead the delivery of AI and data products, bridging teams and stakeholders.
- Company: Global commodities trading business with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and exposure to senior stakeholders.
- Other info: Dynamic workplace with opportunities for growth and learning.
- Why this job: Make a real impact in a fast-paced, tech-driven role at the forefront of AI.
- Qualifications: Experience in managing technical products and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a highly sophisticated global Commodities trading business looking to hire an AI Product Manager to sit directly within its Data Science function. This is a genuinely high-impact role focused on owning the delivery lifecycle for AI and data products, acting as the bridge between Data Science / ML Engineering teams and wider commercial stakeholders across the firm.
The position combines product management, project delivery, stakeholder engagement, and AI strategy - helping define roadmap, prioritise initiatives, drive adoption of AI tooling, and identify new opportunities where data and AI can create commercial value. The environment is fast-paced, highly technical, and deeply collaborative, with strong exposure to senior stakeholders and cutting-edge work across AI, analytics, and modern data platforms.
We’re looking for candidates with:
- Experience managing technical or data-driven products
- Strong stakeholder and delivery management skills
- The ability to translate business requirements into structured technical work
- Experience working closely with Data Science, ML, or Analytics teams
- Excellent communication skills and strong commercial awareness
- Hands-on AI/ML engineering experience is not required, but familiarity working alongside DS/ML teams is highly advantageous.
London-based - 5 days in the office as standard with some flex. Feel free to reach out directly for a confidential discussion.
AI Product Manager employer: Thomson Keene
As an AI Product Manager at our global Commodities trading business in London, you'll thrive in a dynamic and collaborative environment that champions innovation and technical excellence. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and direct engagement with senior stakeholders, ensuring your contributions have a meaningful impact on the company's AI strategy and product delivery. With a focus on cutting-edge technology and a commitment to fostering talent, we provide a unique platform for you to advance your career while driving commercial value through data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and data science. Use platforms like LinkedIn to connect with potential colleagues or mentors who can give you insights into the role and even refer you internally.
✨Tip Number 2
Prepare for the interview by brushing up on your product management skills. Be ready to discuss how you've managed technical products in the past and how you can bridge the gap between data science and commercial stakeholders. We want to see your thought process!
✨Tip Number 3
Showcase your understanding of AI and data tools during interviews. Even if you don’t have hands-on experience, being familiar with the latest trends and tools will impress the hiring managers. It shows you're proactive and genuinely interested in the field.
✨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, it gives us a chance to see your enthusiasm for the role and the company directly.
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Product Manager. Highlight your experience with data-driven products and any relevant stakeholder management skills. We want to see how you can bridge the gap between technical teams and commercial stakeholders!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data products. Share specific examples of how you've successfully managed projects or engaged with stakeholders in the past. Let us know why you're the perfect fit for this fast-paced environment.
Showcase Your Communication Skills:Since this role involves a lot of collaboration, make sure your written application reflects your excellent communication skills. Be clear and concise, and don’t shy away from using industry jargon where appropriate. We want to see that you can effectively convey complex ideas!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Thomson Keene
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and data science. Familiarise yourself with key concepts, tools, and methodologies that are relevant to the role. This will not only help you answer technical questions but also show your passion for the field.
✨Master Stakeholder Engagement
Since this role involves a lot of interaction with various stakeholders, practice how you would communicate complex ideas simply and effectively. Think about examples from your past experiences where you successfully managed stakeholder expectations or delivered on their needs.
✨Showcase Your Product Management Skills
Prepare to discuss your experience in managing data-driven products. Be ready to share specific examples of how you've prioritised initiatives, defined roadmaps, and driven product adoption. Highlight any successes you've had in similar fast-paced environments.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company and the role. Inquire about their current AI projects, challenges they face, or how they measure the success of their AI initiatives. This shows you're thinking ahead and genuinely interested in contributing.
