Staff Product Designer, Guest & Discovery

Collaborative Boating operates Boatsetter and GetMyBoat, two major marketplaces for getting on the water that are converging into one platform. The Staff Product Designer will own the end-to-end guest discovery experience, including search, filtering, results, maps, listings, and AI-assisted discovery surfaces. The role focuses on information hierarchy, system-informed interfaces, continuous customer discovery, and measurable product outcomes across web and mobile.

Responsibilities:

• The end-to-end guest discovery experience — search, filtering and refinement, results, map and list, the listing page, and the paths in from organic search and AI assistants. Coherence across both brands and web plus mobile is yours
• The information hierarchy of the results card, defended with evidence, across guest intents and every state the data actually produces: missing photos, no reviews yet, a price range instead of a price, partial availability
• Interfaces over a system that infers. Make what it inferred legible, make correcting it easy, and reduce verification labor rather than creating it — a guest who has to double-check our answer has been handed our work
• Surfaces we don't render. With engineering, shape the structured expression of an experience, an offer, and an operator so it survives being summarized, quoted, or laid out by someone else's assistant
• Continuous discovery with your pod — a Product Manager and an engineering tech lead. Choose the cheapest artifact that answers the open question; spend fidelity when a decision is actually being committed

Requirements:

• Held substantial ownership of search, browse, or discovery in a two-sided marketplace — relevance surfaces, faceted filtering, availability and pricing display, map plus list, comparison
• Designed information you can defend. Walk us through a dense comparison surface you built: why each element is there, why it's ordered that way, what you removed, and what removing it cost
• Designed over a system that infers, ranks, or predicts — communicating state and confidence in real time, and designing the correction path for when the system is wrong
• Formed a point of view on search in an AI-driven world, including where conversation doesn't belong
• Fluency with entities, states, and contracts alongside your tech lead
• Restraint and typographic craft in high-information surfaces
• AI tools in your own practice
• Search relevance literacy, structured data and schema work, third-party assistant surfaces, or travel, hospitality, and local-services search at scale are each a plus rather than a requirement