Ecommerce Trading & Optimisation Manager

• **Ecommerce Trading & Optimisation Manager**
• **Reports to:**
• Senior Ecommerce Manager
• **Location:**
• Canary Wharf (Head Office)
• **Function:**
• Ecommerce
• **The Role**
• The Ecommerce Trading & Optimisation Manager owns the day-to-day commercial performance of the Frive website: how the range is merchandised, how the pages read, and how well the site converts. This is a dedicated on-site role, created because trading, digital merchandising, product content and conversion optimisation deserve one owner rather than being shared out across a broader remit.
• Reporting to the Senior Ecommerce Manager, you take on the site itself — ranging and merchandising decisions, personalisation, the conversion optimisation programme, product detail page quality, and the weekly trading rhythm. The Senior Ecommerce Manager retains the ecommerce P&L, channel strategy, the promotional calendar and supply chain coordination, and you work to the commercial targets they set.
• This is an individual contributor role with no direct reports.

What makes it possible at this scope is ai

• We expect you to use Claude and similar tools to build landing pages, generate and iterate test variants, draft and scale product content, and pull your own analysis — doing in a day what would previously have taken a week and a queue behind a developer. You will work alongside the eCom Exec, who handles deeper technical and platform work; in practice you build and ship the majority of your own page and test work, and hand over what genuinely needs engineering.
• **Responsibilities**
• **AI-Assisted Build & Experimentation**
• Using Claude and comparable AI tools to build and iterate landing pages, product page modules, promotional templates and test variants — taking ideas to live pages without waiting on a development queue.
• Producing multiple variants of a test quickly, so the constraint on our testing programme is traffic and prioritisation rather than build time.
• Using AI to draft and scale product copy, meta content, category descriptions and on-site messaging, then editing to brand voice rather than publishing raw output.
• Building your own analysis and reporting with AI assistance — querying data, summarising test results, spotting patterns across product and category performance.
• Applying judgement about where AI output is safe to ship and where it is not: nutritional, allergen and ingredient information always requires human verification and sign-off before it goes live, without exception.
• Sharing what works. As the first hire using these tools day to day, you will set the practical standards other people in the team follow.
• **Trading, Merchandising & Personalisation**
• Owning the day-to-day trading of the website: ranging, category and collection merchandising, on-site search and sort order, and cross-sell and upsell placement.
• Designing and running personalisation across the site — tailoring recommendations, collections and merchandising by customer segment, purchase history and behaviour — and proving the uplift it delivers.
• Driving average order value and basket size through merchandising: bundles, cross-sell, threshold mechanics, subscription add-ons and range architecture.
• Running the weekly trading rhythm — reviewing performance by product, category and landing page, and acting on what you find within the same week.
• Building and merchandising landing pages for new product launches, limited releases, seasonal ranges and promotional activity, against the calendar agreed with the Senior Ecommerce Manager.
• Maintaining a prioritised backlog of site improvements, sequenced by expected commercial impact against effort to build.
• **Conversion Rate Optimisation**
• Owning the CRO programme end to end: research, hypothesis, test design, analysis, and rolling out what wins.
• Prioritising a focused testing roadmap suited to our traffic volumes, concentrating on the pages where tests can realistically reach significance — home, category, product detail, basket and checkout.
• Using qualitative research (session recordings, heatmaps, on-site surveys, user testing) both to generate hypotheses and to make good decisions on pages where traffic is too low for a conclusive test.
• Owning basket and checkout conversion, including identifying and fixing drop-off points in the purchase journey.
• Maintaining a shared test log covering wins, losses and inconclusive results, so that learning compounds rather than being repeated.
• **Product Content & PDP Quality**
• Owning the quality and consistency of product detail pages: imagery, copy, nutritional and ingredient information, reviews and on-page merchandising modules.
• Setting and maintaining content standards and a QA process, so every launch goes live complete and correct rather than being fixed afterwards.
• Making sure product content meets food labelling and allergen requirements, working with the relevant technical and compliance contacts.
• Improving on-site search and navigation so customers can actually find what they want.
• **Reporting & Insight**
• Reporting weekly on trading and conversion performance: sessions, conversion rate, AOV, units per order, revenue and margin by category, and page-level performance.
• Reporting the cumulative impact of the CRO and personalisation programmes, with honest attribution — including what did not work.
• Surfacing range gaps, stock problems and content issues that show up in the numbers to the Senior Ecommerce Manager and the wider team.
• **Collaboration**
• Working with the eCom Exec on platform, integration and technical work that sits beyond what you can build yourself.
• Partnering with performance marketing and CRM so landing pages and on-site experience match what campaigns promise.
• Working with product and NPD teams to get launch information early enough to merchandise it properly.
• Managing CRO, design or content agency partners where we use them.
• **About You**
• You have 3–5+ years in ecommerce, with a meaningful share of that in trading, digital merchandising or optimisation rather than adjacent to it.
• You already use AI tools as part of how you work — not as a curiosity, but to ship things. You can show us pages, variants, content or analysis you have produced with them.
• You are a capable prompter: you can get a usable landing page or test variant out of Claude, spot where the output is weak, and iterate rather than accepting the first attempt.
• You have sound judgement about where AI belongs. You know that a nutritional claim, an allergen statement or a price needs verifying by a human, and you would never ship one unchecked.
• You have run A/B tests yourself — designed them, called them, and rolled them out — including at moderate traffic volumes where you cannot test everything and prioritisation is the actual skill.
• You have driven AOV or basket size deliberately, through merchandising or personalisation, and can talk through what worked and what did not.
• You are hands-on with Shopify or a comparable platform, and with a testing tool such as VWO, Convert, AB Tasty or Optimizely.
• You are confident in GA4 and can build the reports you need rather than waiting for someone else to.
• You think commercially: you are comfortable talking about margin, AOV and pounds, not only conversion percentage points.
• You are happy owning a set of numbers and being accountable for them week to week, without a team beneath you.
• **Nice to Have**
• Experience in food, beverage or CPG, particularly with chilled or short shelf-life products.
• Experience with a personalisation or recommendation engine.
• Experience with subscription or replenishment models.
• Familiarity with Klaviyo or comparable email/SMS platforms.
• Working knowledge of HTML, CSS or Shopify Liquid — enough to read, spec and sanity-check AI-generated output.
• Experience building small internal tools or automations with AI assistance.
• Experience running qualitative research or moderated user testing.
• **How We Will Measure Success**
• In the first twelve months, we would expect to see:
• A clear increase in average order value, with the merchandising and personalisation tactics behind it identified rather than assumed.
• Measurable uplift in basket size and units per order, attributable to specific cross-sell, bundling and threshold mechanics you have implemented.
• Personalised experiences running across the site, each with a measured uplift against a control — in AOV, conversion or repeat purchase — rather than simply being live.
• A measurable improvement in site conversion rate, and a documented test programme showing how it was achieved.
• Product launches going live fully merchandised and content-complete on day one, as a matter of routine.
• A meaningful reduction in the time it takes to get a landing page or test variant live, through your use of AI tooling.
• **Staff Benefits**
• Discounted Private Medical Insurance
• 25 days Holiday + Public
• Bonus Scheme
• A discount on our amazing food
• Hybrid working pattern
• Enhanced parental leave