Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML initiatives and drive data-driven product strategies.
- Company: Global marketplace revolutionising ecommerce with innovative technology.
- Benefits: Competitive salary, bonus, equity, and flexible working arrangements.
- Other info: Join a dynamic team with opportunities for growth and impact.
- Why this job: Shape the future of ecommerce with cutting-edge AI and data solutions.
- Qualifications: Experience in product management, AI/ML, and data engineering.
The predicted salary is between 60000 - 84000 £ per year.
Salary: up to £100,000 + bonus & equity
Location: London (Ideally 2 days/week in office)
We’re working with a global marketplace that’s transforming its ecommerce experience with AI and data‑driven products.
Responsibilities
- Lead the dedicated Data Enablement team, taking ownership of key data and AI initiatives that power discoverability, recommendations, and pricing across multiple marketplaces.
- Sit at the intersection of product, ML, and data engineering, leading important AI/ML initiatives while shaping team processes, infrastructure, and long‑term product strategy.
- Scale existing AI/ML capabilities, productionize proofs‑of‑concept, and influence strategic initiatives at board level.
Why this role is special
Senior Product Manager - Technical (AI/ML) in England employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager - Technical (AI/ML) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects and achievements in product management and AI/ML. This is your chance to shine and demonstrate how you can add value to the team.
✨Tip Number 3
Prepare for those interviews! Research the company’s products and think about how you can contribute to their AI initiatives. We want you to be ready to discuss your vision and strategies for scaling AI/ML capabilities.
✨Tip Number 4
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 are proactive and engaged with our platform.
We think you need these skills to ace Senior Product Manager - Technical (AI/ML) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Product Manager role. Highlight your experience with AI/ML and data-driven products, as this is what we’re looking for. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI/ML and how your skills align with our mission. Keep it engaging and personal – we want to get to know you beyond your CV.
Showcase Your Achievements: When detailing your past experiences, focus on your achievements rather than just responsibilities. Use metrics and examples to demonstrate how you’ve led successful AI/ML initiatives or improved processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Burns Sheehan
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how you've applied these concepts in previous roles, especially in product management. This will show that you’re not just familiar with the buzzwords but can actually drive initiatives.
✨Showcase Your Leadership Skills
As a Senior Product Manager, you'll be leading teams and initiatives. Prepare examples of how you've successfully led projects or teams in the past, particularly in data-driven environments. Highlight your ability to influence stakeholders and shape product strategy.
✨Understand the Company’s Vision
Research the company’s current AI/ML initiatives and their overall vision for ecommerce transformation. Tailor your responses to align with their goals, demonstrating that you’re not only a fit for the role but also passionate about their mission.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could be about their data enablement strategies or how they envision the future of AI in their products. Asking thoughtful questions shows your genuine interest and helps you assess if the company is the right fit for you.