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 communication skills.
The predicted salary is between 70000 - 90000 £ 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 in Slough employer: Thomson Keene
Join a leading global Commodities trading business in London, where innovation meets collaboration. As an AI Product Manager, you'll thrive in a dynamic environment that values your expertise and fosters professional growth, offering you the chance to work with cutting-edge AI technologies while engaging with senior stakeholders. With a strong emphasis on teamwork and a commitment to driving impactful AI solutions, this role provides a unique opportunity to shape the future of data-driven decision-making in a fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager in Slough
✨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 interviews by brushing up on your product management skills. Be ready to discuss how you've managed technical products in the past and how you’ve engaged with stakeholders. We want to see your ability to bridge the gap between tech and business!
✨Tip Number 3
Showcase your understanding of AI and data products during interviews. Even if you’re not hands-on with AI/ML engineering, demonstrate your familiarity with these concepts and how they can drive commercial value. This will set you apart from other candidates.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace AI Product Manager in Slough
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 communication is key in this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's through your CV, cover letter, or any additional materials, we want to see that you can articulate your thoughts 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 don’t miss out on any important 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 genuine interest in 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. Prepare examples of how you've successfully managed stakeholder expectations in the past, as this will demonstrate your delivery management skills.
✨Showcase Your Product Management Skills
Be ready to discuss your experience with product management, especially in technical or data-driven environments. Think of specific projects where you defined roadmaps or prioritised initiatives, and be prepared to explain your thought process and outcomes.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities and how you would handle real-world challenges in the role. Think about potential situations you might face in the AI product lifecycle and how you would approach them, showcasing your strategic thinking and commercial awareness.
