E-commerce Product Manager

Summary

BÆRSkin Tactical Supply Co. is a fast-growing direct-to-consumer outdoor apparel brand operating through its online store. The E-commerce Product Manager owns the commercial management, merchandising, conversion, search, discovery, product lifecycle, testing, and performance of the online store across markets.

Responsibilities

• Start the week in the sales data: what is selling, in which market, and what changes on the store as a result
• Own the homepage, navigation, category structure, product placement and sort order across all collection pages, by region
• Decide the level of visibility each product gets, balancing stock cover, demand, margin and range strategy
• Own add-ons, recommendations and cross-sell placement across the funnel
• Own the on-site funnel from entry to add-to-cart: identify drop-off, diagnose it, fix it
• Spot what the store is missing and brief new features - modules, filters, funnel changes - to lift conversion, and prioritise them with the product and tech teams
• Understand product profitability - margin, refund and return rates - and how they differ by market
• Work with the forecast so stock and visibility stay aligned, flagging risk early
• Coordinate store and CRM campaigns so everything is live, visible and in line with the promotional calendar
• Report weekly on store, category and product performance to the Revenue team
• Own on-site search performance: search intent, zero-result and low-click queries, autocomplete, synonyms, ranking rules
• Turn search demand into merchandising and assortment decisions
• Own Google Shopping product data - titles, descriptions and attributes built around real search intent, and feed quality across markets
• Coordinate new product introductions, colour drops and seasonal ranges so they land on time and complete
• Review PDPs before launch - content, imagery, pricing and configuration ready to go
• Retire or de-prioritise underperforming products and keep the catalogue clean
• Keep stock, pricing and visibility consistent across markets
• Be accountable for changes being correct, on time and live in production
• Log weekly changes and measure their impact, so we know what actually worked
• Run and interpret A/B tests on the store
• Run continuous competitor research - funnels, merchandising, offers, search and feed best practice - and bring back what we should adopt
• Use AI tools day to day to analyse data, generate and optimise content, automate reporting and move faster than the headcount would suggest

Skills

• 3–5+ years in e-commerce merchandising, online category management or commercial product management for a retail or DTC brand
• Excel with data - you build your own weekly view, read your own numbers and justify decisions with them
• Experience working across multiple countries or regions, including the interaction between stock and visibility
• Strong attention to detail - you catch the broken image, the wrong price, the product showing in a market with no stock
• Comfortable owning outcomes rather than executing a task list
• Genuinely curious about AI, and already using it to do your work better
• Fluent written and spoken English
• Background at a large fashion or apparel retailer, or at a scaled DTC brand
• Experience with on-site search tools, merchandising rules and A/B testing
• Experience with Google Shopping feeds and e-commerce SEO
• Familiarity with analytics tooling

Qualifications

Must Haves

• 3–5+ years in e-commerce merchandising, online category management or commercial product management for a retail or DTC brand
• Excel with data - you build your own weekly view, read your own numbers and justify decisions with them
• Experience working across multiple countries or regions, including the interaction between stock and visibility
• Strong attention to detail - you catch the broken image, the wrong price, the product showing in a market with no stock
• Comfortable owning outcomes rather than executing a task list
• Genuinely curious about AI, and already using it to do your work better
• Fluent written and spoken English

Nice to Haves

• Background at a large fashion or apparel retailer, or at a scaled DTC brand
• Experience with on-site search tools, merchandising rules and A/B testing
• Experience with Google Shopping feeds and e-commerce SEO
• Familiarity with analytics tooling

Benefits

• Fully remote and flexible - we care about results, not hours logged
• Clear career path in a fast-growing e-commerce company
• 26 days of paid leave + parental leave
• Friendly, collaborative and international team culture