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- Tasks: Lead the design of AI capabilities across our platform and enhance customer journeys.
- Company: Join a dynamic organisation with over 500 talented professionals.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Shape the future of AI and personalisation in a collaborative environment.
- Qualifications: Experience in AI/ML products and a background in B2C personalisation.
- Other info: Engage in a structured interview process with four stages.
The predicted salary is between 48000 - 72000 £ per year.
Key Focus of the Role: This person will sit across the product organisation and help design how complex AI-enabled capabilities are integrated across the platform, rather than owning a single feature area. You’ll work closely with Engineering, Decisioning and ML teams, helping shape how things like personalisation, automation and intelligent recommendations appear across customer journeys.
- Built AI/ML Products
- Worked in a B2C setting
- Worked on Personalisation and recommendation based products
Lead Product Manager, AI & Personalization in London employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Manager, AI & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for those interviews! Research the company’s products and think about how your experience with AI and personalisation can add value. We want you to shine when discussing how you can contribute to their goals.
✨Tip Number 3
Showcase your passion for AI and personalisation during interviews. Share specific examples of projects you've worked on and how they relate to the role. This will help us see your enthusiasm and expertise!
✨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 Lead Product Manager, AI & Personalization in London
Some tips for your application 🫡
Show Your Passion for AI & Personalisation: When writing your application, let your enthusiasm for AI and personalisation shine through. We want to see how your experience aligns with our mission to integrate complex AI capabilities across our platform.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Lead Product Manager role. Highlight your experience in B2C settings and any projects you've worked on that involved personalisation and recommendations.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at trg.recruitment
✨Know Your AI & Personalisation Stuff
Make sure you brush up on the latest trends and technologies in AI and personalisation. Be ready to discuss how you've previously integrated these capabilities into products, as well as your understanding of customer journeys and how they can be enhanced through intelligent recommendations.
✨Collaborate Like a Pro
Since this role involves working closely with Engineering, Decisioning, and ML teams, prepare examples of how you've successfully collaborated across different departments. Highlight your communication skills and how you’ve facilitated teamwork to achieve product goals.
✨Showcase Your B2C Experience
Be ready to share specific examples from your past work in a B2C setting. Discuss how you’ve tackled challenges related to user engagement and retention, and how your product decisions have positively impacted customer experiences.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about potential challenges in integrating AI features and how you would approach them. This will show your ability to think critically and adapt in a fast-paced environment.