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Senior Product Manager - Data, Analytics & AI

Swap

London

On-site

GBP 80,000 - 100,000

Full time

Yesterday
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Job summary

A leading global commerce platform is seeking a Senior Product Manager to oversee their AI, Analytics, and Data domain. This role involves setting the strategy and roadmap for data products, partnering with engineering teams, and leading cross-functional efforts to deliver innovative solutions. The ideal candidate has over 8 years of product management experience, particularly in data and analytics, and is adept at building AI-enabled products. The position offers competitive salary and stock options within a high-growth startup environment.

Benefits

Competitive base salary
Stock options
Private Health insurance
Pension

Qualifications

  • 8+ years of experience in product management focused on data and analytics.
  • Proven experience managing technical teams and data-driven products.
  • Experience with AI or ML-enabled products.

Responsibilities

  • Set strategy for AI, analytics, and data.
  • Partner with data engineering leads on data infrastructure.
  • Lead cross-functional teams in data product development.

Skills

Product management experience
Data analytics and AI
Strong communication skills
Technical team management
Commercial acumen

Tools

BI/visualisation tools
Modern data stacks
Job description

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 its importance in data storytelling.
Benefits
  • Competitive base salary
  • Stock options in a high-growth startup
  • Private Health insurance
  • Pension
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