London
About the Role
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 & 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
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