AI Product Manager in London

AI Product Manager in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Thomson Keene

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 role with opportunities for growth and learning in AI and data.
  • 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 London 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 through exposure to cutting-edge AI technologies and senior stakeholders. With a strong emphasis on teamwork and a commitment to driving impactful AI solutions, this role offers a unique opportunity to shape the future of data-driven decision-making in a fast-paced industry.

Thomson Keene

Contact Details:

Thomson Keene Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Manager in London

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 and maybe even refer you to open positions.

Tip Number 2

Prepare for interviews by understanding the company’s products and their AI strategy. We recommend doing some research on their recent projects or initiatives. This will help you tailor your responses and show that you're genuinely interested in their work.

Tip Number 3

Practice your communication skills! As an AI Product Manager, you'll need to bridge the gap between technical teams and commercial stakeholders. Try explaining complex concepts in simple terms to friends or family to sharpen your ability to communicate effectively.

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 the initiative to engage directly with us.

We think you need these skills to ace AI Product Manager in London

Product Management
Project Delivery
Stakeholder Engagement
AI Strategy
Roadmap Definition
Initiative Prioritisation
AI Tooling Adoption

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Product Manager role. Highlight your experience with data-driven products and any relevant stakeholder management skills. We want to see how your background aligns with our needs!

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 you can bridge the gap between Data Science and commercial stakeholders. Let us know what makes you the perfect fit for this fast-paced environment.

Showcase Your Communication Skills:Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to demonstrate how you've effectively communicated complex ideas in the past.

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 team!

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. Understand how these technologies can create commercial value, as this will be key in your role. Be ready to discuss how you've seen AI impact product management in previous experiences.

Stakeholder Engagement is Key

Since this role involves a lot of interaction with stakeholders, think about examples where you've successfully managed relationships. Prepare to share how you’ve translated business needs into technical requirements, as this will show your ability to bridge the gap between teams.

Showcase Your Project Management Skills

Be prepared to talk about your experience in managing product delivery lifecycles. Highlight specific projects where you’ve prioritised initiatives and driven adoption of new tools. This will demonstrate your capability to handle the fast-paced environment they’re looking for.

Communicate Clearly and Confidently

Strong communication skills are a must for this role. Practice articulating complex ideas simply and clearly. Think about how you can convey your thoughts on AI strategy and product management in a way that resonates with both technical and non-technical audiences.