At a Glance
- 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.
- Other info: Engage in a four-stage interview process to showcase your skills.
- 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.
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 employer: trg.recruitment
As a Lead Product Manager in our dynamic organisation of over 500 professionals, you will thrive in a collaborative environment that champions innovation and creativity. We offer competitive benefits, a strong focus on employee development, and a culture that values diverse perspectives, ensuring you have the resources and support to grow your career while making a meaningful impact in the AI and personalisation space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Manager, AI & Personalization
✨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 to see you shine, so practice common interview questions and have your own ready to go!
✨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. We love hearing about your hands-on experience and innovative ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals who are excited about shaping the future of AI and personalisation.
We think you need these skills to ace Lead Product Manager, AI & Personalization
Some tips for your application 🫡
Show Your Passion for AI & Personalisation:When writing your application, let us see your enthusiasm for AI and personalisation. Share any relevant experiences or projects that highlight your understanding of these areas. We love seeing candidates who are genuinely excited about the role!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this specific role. Highlight your experience with AI/ML products and B2C settings, as well as any work you've done on personalisation and recommendation systems. This helps us see how you fit into our vision.
Be Clear and Concise:We appreciate clarity! When you're writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. This makes it easier for us to see your qualifications at a glance.
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. Plus, it shows us you’re keen on joining the StudySmarter team!
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, be prepared to showcase your collaboration skills. Think of examples where you've successfully worked across departments to deliver a product or feature, and be ready to discuss how you handle differing opinions and priorities.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Prepare by thinking through potential challenges you might face in integrating AI features and how you would approach them. This will demonstrate your strategic thinking and ability to navigate complex situations.
✨Showcase Your B2C Experience
Highlight your experience in a B2C setting, especially if you've worked on personalisation and recommendation products. Be specific about the impact your work had on user engagement and satisfaction, as this will resonate well with the interviewers looking for someone who understands consumer behaviour.
