Product Manager

We are looking for a Product Manager to join our team. In this role, you will own the end-to-end shopping experience on our platform — discovery, browsing, search, merchandising and the gifting journey — setting a clear vision and commercial roadmap, and embedding AI-driven innovation across the platform in partnership with engineering, design, data and commercial teams.

Responsibilities

Platform strategy – define and own the product roadmap for the shopping journey (search, browse, discovery, filtering, recommendations), balancing customer experience with commercial impact; AI-driven innovation – identify, evaluate and embed AI capabilities across the platform — personalisation engines, smart search and merchandising, generative content, conversion optimisation and intelligent A/B testing — bringing a point of view on what AI can unlock; Discovery and insight – lead ongoing customer research, competitor analysis and data deep-dives to surface problems worth solving, equally comfortable in a user interview or a dashboard; Delivery and execution – own the end-to-end product lifecycle from discovery and scoping through development, QA, UAT, launch and post-launch measurement, writing crisp briefs and clear user stories; Experimentation – build and maintain a rigorous testing culture: defining hypotheses, designing experiments, interpreting results and scaling what works; Cross-functional collaboration – work closely with eCommerce, marketing, category management, data science and technology to align priorities and drive outcomes; Performance and reporting – define success metrics for your area, monitor platform KPIs (conversion, AOV, engagement, funnel drop-off) and communicate progress to stakeholders up to leadership level

Requirements

5+ years of product management experience, with at least 2 years focused on eCommerce or transactional digital platforms; Proven track record of shipping customer-facing features that had measurable commercial impact; Hands-on experience with A/B testing and experimentation platforms (e.g. VWO, Optimizely, or similar); Experience working in agile environments with cross-functional engineering and design teams; Familiarity with eCommerce platforms, analytics tools and data querying; Practical experience using or integrating AI/ML capabilities into a product — whether personalisation, search, content generation, or automation; A curious, informed perspective on how generative AI and LLM-based tools can be leveraged to improve customer experience and team efficiency; Comfort working with data science teams to define requirements for ML-driven features and evaluate their outcomes; Strong analytical instincts — you make decisions with data, not just instinct; Excellent written and verbal communication; you can tailor your message for an engineer, a marketer, or a C-suite stakeholder; High ownership mentality — you follow through, escalate when needed, and take responsibility for outcomes not just outputs; A collaborative, low-ego style — you bring people with you

Nice to have

Experience in gifting, travel, eCommerce, or marketplace eCommerce; Exposure to multi-market or multi-language platform management; Familiarity with headless or composable commerce architectures; Experience using AI tools (e.g. Claude, ChatGPT, Cursor) to accelerate your own productivity — writing, research, analysis, documentation

Benefits

Hybrid work: 2–3 remote days + 20 days abroad per year; Essentials: health cover, pension, taxsaver benefit, extra leave; Flexible benefits: personalize with health, wellbeing & learning options; D&I commitment: parental leave, Inclusive Day, gender equity in rewards; L&D Support: Study Assistance and Study Leave; Unbox Your World: Take 1 day leave per year as short notice (YOLO!) + paid sabbatical after 5 years; Transparency: clear, fair salary bands and career levels