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- Tasks: Lead the strategy for personalisation and recommendation systems in a high-growth digital business.
- Company: Join a dynamic team focused on innovation and data-driven growth.
- Benefits: Competitive salary, 15% bonus, and comprehensive benefits package.
- Why this job: Shape how millions engage with products using cutting-edge AI technology.
- Qualifications: Experience in ML/AI-driven product management and strong technical skills.
- Other info: Clear career progression and major investment in AI tooling.
The predicted salary is between 72000 - 84000 £ per year.
Salary: Up to £100,000 + 15% bonus + benefits
We’re looking for an experienced Senior Product Manager to lead the strategy and delivery of personalisation and recommendation systems for a high-growth digital business. This is a rare opportunity to shape how millions of customers discover and engage with products, driving measurable commercial and customer impact through data and AI.
As the product lead for personalisation, you’ll work closely with Data Science, Engineering, and commercial teams to define the vision, build the roadmap, and deliver data-powered customer experiences at scale. You’ll combine strategic thinking with strong technical fluency to deliver results that move the needle on engagement, conversion, and revenue.
What you’ll do:
- Define and execute the end-to-end product strategy for personalisation, recommendations, and ranking systems.
- Partner with Data Science teams to set direction, problem framing, and measurable outcomes.
- Collaborate with ML and Data Engineers to design scalable model pipelines and monitoring tools.
- Translate complex data and model trade-offs into commercially relevant insights for senior stakeholders.
- Deliver measurable business impact through increased customer engagement, AOV, and retention.
What we’re looking for:
- Proven experience as a Senior or Lead Product Manager delivering ML/AI-driven products.
- Strong technical understanding of data science principles, model lifecycles, and experimentation design.
- Hands‑on experience with personalisation, ranking or recommendation systems in a commercial environment.
- Comfortable interrogating data with SQL/BI tools and designing effective A/B testing strategies.
- Excellent communication and stakeholder management skills—able to simplify complexity and influence outcomes.
Join an outcome-focused team passionate about innovation, experimentation, and data‑driven growth. With clear career progression and major investment in AI tooling, this is a chance to define a new frontier of personalisation at scale.
Senior Product Manager employer: MRJ Recruitment
Contact Detail:
MRJ Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We can’t stress enough how valuable personal connections are when it comes to landing that Senior Product Manager role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or case studies that highlight your experience with ML/AI-driven products. We want to see how you’ve made an impact in previous roles, so don’t hold back!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We know you’re already savvy, but being able to discuss data science principles and A/B testing strategies confidently will set you apart from the competition.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Product Manager. Highlight your experience with personalisation and recommendation systems, and don’t forget to showcase your technical fluency in data science principles.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this role. Share specific examples of how you've driven measurable business impact through data and AI in previous positions.
Showcase Your Collaboration Skills: We want to see how well you work with cross-functional teams. Mention any experiences where you’ve partnered with Data Science or Engineering teams to deliver successful products.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at MRJ Recruitment
✨Know Your Product Inside Out
Before the interview, dive deep into the company's products and their personalisation strategies. Understand how they leverage data and AI to enhance customer experiences. This will not only show your genuine interest but also help you articulate how your experience aligns with their goals.
✨Showcase Your Technical Fluency
Be prepared to discuss your technical understanding of data science principles and model lifecycles. Brush up on SQL and BI tools, and think of examples where you've successfully implemented A/B testing strategies. This will demonstrate your capability to collaborate effectively with Data Science and Engineering teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic thinking. Think of specific scenarios where you've defined product strategies or delivered measurable business impact. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Communicate Clearly and Confidently
Your ability to simplify complex concepts is crucial. Practice explaining your past projects and their outcomes in a way that’s easy to understand. This will not only impress the interviewers but also showcase your stakeholder management skills, which are essential for this role.