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Maison Sport is seeking a Product Manager to optimise conversion across landing pages and core journeys for three brands. You will design and prototype in code with AI coding assistants, working alongside engineers rather than directing them.
You should have a strong UI/UX sense, be comfortable with A/B testing and GA4 analytics, and be self-directed with a commercially minded approach to prioritising changes that drive bookings.
Maison Sport is aiming to become the largest snow sports provider in the world and the numbers back it up: growth has averaged more than 30% a year for the last decade. You'd be joining a team of people who genuinely love skiing and snowboarding, working at the forefront of tech in an industry that's historically been slow to catch up.
The culture is ambitious and holds people to a high standard, but it runs on trust: flexible working and you're judged on what you deliver, not hours at a desk. We also take time off the mountain seriously, with a minimum of three company-wide off-sites a year, proper trips to country houses across the UK where the whole team gets together.
We're looking for a Product Manager to focus on optimising our conversion rate on our landing pages and core user journeys across our three brands, from first click through to booking.
This is a hands-on, building role: you design and prototype in code, using AI coding assistants, working alongside our engineers rather than only directing them.
A strong understanding of UI and UX design is essential: using A/B testing, data analysis and strategic insight from our Head of Product, you'll be making judgement calls on layout, flow and ultimately making changes to our platform that will improve user experience and conversion, not simply handing requirements to someone else to design and build.
We're looking for someone who is comfortable working with AI coding tools — you don't necessarily need a strong technical background, as you'll be assisted by our engineers, but you will need a strong attention to detail and an analytical approach to design. The right candidate will be constantly looking for 'what's next', a landing page or user journey is never done or fully optimised, you'll need to be able to relentlessly pursue change and improvement.
Track conversion rate, drop-off and booking value by page and journey step. Work with our Data Analyst and Head of Product on the reporting that underpins it and build forecasts that tie changes to booking volume and revenue.
We expect this role to be built around AI coding assistants from day one. You'll use Claude Code, or an equivalent, to prototype, build and ship landing page and journey changes directly, not just to speed up writing briefs. Bring the same instinct to testing and analysis, automating what can be automated.
Booking conversion rate across landing pages by brand, drop-off at each stage of the core user journeys, the number and quality of experiments shipped (not just run), and the share of changes built directly by this role versus handed to engineering.
Day-to-day responsibility for improving landing pages and user journeys sits with this role - significant scope or resourcing changes are agreed with the Head of Product - it's your responsibility to bring a clear, evidence-based case when you want to reprioritise or reallocate build time, the strategic case is yours to make.