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- Tasks: Lead the strategy for AI, analytics, and data to empower global commerce.
- Company: Join a high-growth startup revolutionising fashion and lifestyle brands' global sales.
- Benefits: Enjoy competitive salary, stock options, private health insurance, and pension.
- Why this job: Make a real impact by transforming data into actionable insights for merchants.
- Qualifications: 8+ years in product management with a focus on data and analytics.
- Other info: Collaborate with cross-functional teams in a dynamic, innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
London
About the RoleWe\’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 & Data domain.This role spans both:
Data Engineering – building the data foundation, pipelines, and agent-readable infrastructure that power Swap\’s platform.
Merchant-facing Analytics – turning data into insights, dashboards, and AI-driven agents that help brands make faster, smarter decisions.
This is not just about reporting; 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 & roadmap for AI, analytics, and data, balancing merchant-facing impact with foundational investments in data infrastructure.
Partner with data engineering leads to scale our pipelines, warehouses, and AI-ready data models.
Build merchant-facing products that go beyond dashboards—embedding predictive analytics, benchmarking, and AI-powered recommendations into everyday workflows.
Translate complexity into clarity, ensuring data is accurate, reliable, and actionable for merchants and agents.
Lead & mentor cross-functional teams across data engineering and analytics, driving alignment on vision and execution.
Embed AI deeply into Swap\’s data products, ensuring agents can analyse, predict, and automate based on trusted signals.
Own success metrics such as data adoption, forecast accuracy, profitability insights, and AI-driven action rates.
What we\’re looking for
8+ years of product management experience, with a strong focus on data/analytics products.
Proven track record of managing technical teams (data engineering, analytics, BI) and shipping data-driven products at scale.
Experience building AI or ML-enabled products, with a clear understanding of how data powers predictive and agentic workflows.
Deep knowledge of modern data stacks (warehousing, pipelines, real-time eventing, BI/visualisation tools).
Strong commercial acumen—able to connect data investment directly to merchant and business value.
Exceptional communicator; 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 it\’s importance in data storytelling
Stock options in a high-growth startup
Private Health insurance
Pension
Interested in building your career at Swap? Get future opportunities sent straight to your email.
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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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your projects, especially those related to data, analytics, and AI. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of modern data stacks and AI products. Be ready to discuss how you've turned complex data into actionable insights in past roles—this is your chance to shine!
✨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 at Swap.
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 don’t forget to showcase any relevant projects that demonstrate your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data-driven products and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job description.
Showcase Your Communication Skills: As a Senior Product Manager, you'll need to communicate effectively across teams. In your application, make sure to highlight instances where you've successfully led cross-functional teams or simplified complex information for stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Swap
✨Know Your Data Inside Out
As a Senior Product Manager focusing on data, analytics, and AI, you need to demonstrate a deep understanding of data stacks and how they drive business value. Brush up on your knowledge of data pipelines, warehousing, and real-time eventing. Be ready to discuss specific examples of how you've used data to inform product decisions.
✨Showcase Your Leadership Skills
This role involves leading cross-functional teams, so it's crucial to highlight your experience in managing technical teams. Prepare anecdotes that showcase your ability to mentor and align teams towards a common vision. Think about times when you successfully drove projects from concept to execution.
✨Communicate with Clarity
Exceptional communication is key in this position. Practice explaining complex data concepts in simple terms. During the interview, focus on how you can translate data insights into actionable strategies for merchants. Use clear examples to illustrate your points and ensure your passion for data storytelling shines through.
✨Emphasise Your Commercial Acumen
The company is looking for someone who can connect data investments to tangible business outcomes. Be prepared to discuss how your previous work has directly impacted profitability or decision-making for brands. Highlight any experience you have with AI or ML-enabled products and how they’ve added value to your past employers.
