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- Tasks: Lead AI and analytics strategy to empower global commerce for fashion brands.
- Company: Innovative startup transforming global commerce with cutting-edge technology.
- Benefits: Competitive salary, stock options, private health insurance, and pension.
- Why this job: Shape the future of commerce and drive impactful data-driven decisions.
- Qualifications: Experience in product management, UX understanding, and strong leadership skills.
- Other info: Join a high-growth startup with exciting opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
We’re building the future of global commerce. Seamless, profitable, and intelligent. Our platform helps fashion and lifestyle brands sell across borders without friction—from tax, duties, and shipping to pricing, returns, and business insights.
We’re looking for a Senior Product Manager to own our AI, Analytics. It’s about building the data advantage that powers agentic commerce. You’ll define how Swap captures, structures, and transforms data into decision-ready actions, enabling merchants to grow globally with clarity and confidence.
What You’ll Do:
- Set the strategy comfortable operating at the intersection of engineering, design, GTM, and exec leadership.
- A bias for action and clarity—always pushing data from raw → insight → decision → automation.
- Strong understanding of UX and its importance in data storytelling.
Benefits:
- Competitive base salary
- Stock options in a high-growth startup
- Private health insurance
- Pension
Senior Product Manager – Data, Analytics & AI employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager – Data, Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data, analytics, and AI. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your passion for the role! When discussing your experience, highlight projects where you've driven data insights into actionable strategies. This will demonstrate your ability to operate at the intersection of engineering, design, and leadership.
✨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, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Senior Product Manager – Data, Analytics & AI
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 data, analytics, and AI, and show how you've driven decision-making through insights in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about building intelligent commerce solutions and how your background aligns with our mission at StudySmarter.
Showcase Your UX Understanding: Since UX is key in data storytelling, share examples of how you've integrated user experience into your product strategies. We want to see how you can make complex data accessible and actionable!
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 this exciting opportunity to shape the future of global commerce!
How to prepare for a job interview at Swap
✨Know Your Data Inside Out
As a Senior Product Manager focusing on Data, Analytics & AI, it's crucial to have a solid grasp of data concepts. Brush up on how data can be transformed into actionable insights and be ready to discuss specific examples from your past experiences where you've successfully leveraged data to drive decisions.
✨Understand the Intersection of Disciplines
This role requires collaboration across engineering, design, and leadership. Prepare to talk about how you've navigated these intersections in previous roles. Think of specific projects where you’ve had to balance technical requirements with user experience and business goals.
✨Showcase Your Bias for Action
The company values a bias for action, so come prepared with stories that demonstrate your proactive approach. Highlight instances where you took initiative to push projects forward, especially in situations where data was raw and needed structuring to drive decisions.
✨Master the Art of Data Storytelling
A strong understanding of UX and data storytelling is key. Be ready to explain how you’ve used storytelling techniques to present data insights effectively. Consider preparing a mini-presentation or visual aid that showcases your ability to turn complex data into clear, compelling narratives.
