Senior Product Manager – Data, Analytics & AI
We’re building the future of global commerce. 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. 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. 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. 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. 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. A bias for action and clarity—always pushing data from raw → insight → decision → automation. Strong understanding of UX and its importance in data storytelling. Competitive base salary Private health insurance Pension #