Inactive
S

SwimOutlet

Online retailer of swimwear and gear

Senior Site Merchandiser

Operations & LogisticsPosted on Sep 30
Full-timeRemote in USA$100k - $165k /yrRemote

About the Job

Requirements

  • At least 5 years of e-commerce, digital merchandising, site merchandising, or closely related experience.
  • Experience merchandising a large multi-brand assortment.
  • Strong understanding of e-commerce customer journeys.
  • Experience with category merchandising, search, navigation, filters, sorting, and product discovery.
  • Strong analytical skills and experience using customer behavior and conversion data to make merchandising decisions.
  • Experience partnering with Buyers or Merchants.
  • Experience working closely with Product and UX teams.
  • Experience with experimentation and A/B testing.
  • Strong commercial instincts and attention to detail while maintaining focus on the broader customer journey.
  • Heavy hands-on use of modern AI tools in a professional workflow, including using AI to research, analyze, automate, create, or improve business processes.
  • Comfort experimenting with new AI tools and applying them without extensive direction.
  • A genuine willingness to learn the swimming customer is required.

Responsibilities

  • Own merchandising across SwimOutlet.com throughout the customer journey, including the homepage, navigation and taxonomy, category and collection pages, product sorting and ranking, search merchandising, filters and facets, product discovery, cross-selling, seasonal shops, event-driven merchandising, sport- and activity-based shopping experiences, new product launches, brand shops, promotional merchandising, and educational and inspirational shopping content.
  • Develop a deep understanding of customer personas and ensure the site experience reflects how each group thinks and shops.
  • Use AI to analyze customer behavior and merchandising data; identify patterns in search terms, reviews, returns, questions, and feedback; understand personas and shopping missions; identify taxonomy, navigation, filter, and product-attribute gaps; analyze assortments and competitive positioning; generate and test merchandising hypotheses; improve discovery and recommendations; identify cross-sell and bundle opportunities; find miscategorized or poorly attributed products; accelerate planning and trend research; draft strategies and analyses; automate repetitive work; build workflows; and partner with Product and Technology on AI-powered shopping experiences.
  • Partner with Buying and Planning to translate assortment strategy into the customer experience, understand purchases and inventory, identify assortment gaps from customer behavior, surface priority inventory appropriately, provide Buyers feedback on customer searches and shopping behavior, determine product visibility, ensure new products reach appropriate customers, collaborate on seasonal and category strategies, and use AI and data to surface insights.
  • Continuously identify and eliminate friction in the shopping journey by evaluating findability, category organization, filters, choice overload, product visibility, decision-making information, technical product distinctions, and pathways for customers who are unsure what they need.
  • Use quantitative data, qualitative information, AI, and experimentation to improve merchandising; analyze conversion rate, revenue per visitor, search behavior, zero-result searches, category performance, product click-through rates, discovery, filter usage, navigation behavior, exit rates, add-to-cart behavior, inventory availability, sell-through, new product adoption, feedback, reviews, customer questions, and testing results; and move from insight to hypothesis, experiment, and action.
  • Build merchandising strategies around swimming customer seasons and purchasing rhythms, including back-to-swim, school and club swim seasons, championship and tech suit seasons, summer recreation, lifeguard season, learn-to-swim, holidays, training cycles, and team purchasing periods.
  • Partner with Buying, Marketing, Creative, and Product to support seasonal moments without making the site overly promotional or campaign-driven.
  • Work with Product and Engineering to improve merchandising tools and capabilities, helping define requirements for search, recommendations, personalization, navigation, filters, product ranking, automated merchandising, customer segmentation, AI-powered discovery, conversational and guided shopping, bundles, experimentation, and merchandising agents and automation.
  • Represent the merchandising and customer perspective in the design of product and technology systems.

Desired Qualifications

  • Experience building AI workflows, agents, automations, custom GPTs, or similar systems is a major plus.
  • Experience in sporting goods, specialty retail, apparel, footwear, outdoor, fitness, or another enthusiast-driven category is especially valuable.
  • Knowledge of swimming is helpful but not required.

About the Company

SwimOutlet

Online retailer of swimwear and gear

SwimOutlet is an online retailer focused on aquatics apparel and gear, and is the largest online specialty store for aquatic products in North America. Customers browse a catalog online and purchase items like swimsuits, caps, goggles, and accessories, with the site offering reliable shipping and easy returns. The company differentiates itself through a dedicated focus on water-related gear, a wide selection, competitive prices, and strong customer service. Its goal is to remain the premier online destination for aquatics apparel and gear and continually expand its product range and service for swimmers and water enthusiasts.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Campbell, CA
Founded
2000

Recently Posted Jobs

Explore more opportunities at SwimOutlet

See more jobs