Staff Product Designer, Guest & Discovery

Getmyboat & Boatsetter

2d • Remote

About The Position

Collaborative Boating operates Boatsetter and GetMyBoat, the two largest marketplaces for getting on the water, now converging into one platform. Guests arrive wanting something specific — a fishing trip, a sunset cruise, a birthday on a pontoon — and we connect them to the captains, operators, and owners who can make it happen. Finding and booking a day outside should be as easy and intuitive as booking a flight.

The problem is that search is changing. Guests increasingly express intent in natural language, often through AI assistants instead of traditional search boxes, and on platforms we don't control. While a chatbot might seem like an obvious solution, it's not ideal for the task of comparing boats, which is a visual and parallel process. The work involves creating a visual discovery experience optimized for comparison, alongside a compact, structured expression of a listing that functions well even when rendered by third-party assistants in unfamiliar layouts.

The core of this challenge lies in the search results card, which is the primary unit of persuasion. It presents a concise set of facts that guests use to decide whether to explore further. The role will focus on determining which facts are essential, their optimal order, and how this adapts to various guest intents, from specific searches like "boat rental Miami" to broader ones like "something fun for eight people Saturday." This is fundamentally an information design problem that precedes visual design.

What you'll own:
- The complete guest discovery experience, including search, filtering, refinement, results (map and list views), the listing page, and integration paths from organic search and AI assistants. This includes ensuring coherence across both brands and web/mobile platforms.
- The information hierarchy of the results card, supported by evidence, across different guest intents and all possible data states (e.g., missing photos, no reviews, price ranges, partial availability).
- Designing interfaces for a system that infers information, making the inferences legible, easy to correct, and reducing verification labor for the guest.
- Shaping the structured expression of experiences, offers, and operators for surfaces we don't render, ensuring they are effective when summarized or displayed by third-party assistants.
- Engaging in continuous discovery with a dedicated pod (Product Manager and engineering tech lead), prioritizing the most efficient artifacts to answer open questions and applying fidelity only when decisions are 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.
• Portfolio with two or three in-depth cases, including the problem and how you knew it was real, what you tried and abandoned, hierarchy decisions and rationale, states designed for, what shipped, and what it changed. Include something that didn't work.

Nice To Haves

• 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.

Responsibilities

• Own 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.
• Ensure coherence across both brands and web plus mobile.
• Define and defend the information hierarchy of the results card, across guest intents and every state the data actually produces.
• Design interfaces over a system that infers, making inferred information legible and corrections easy.
• 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.
• Engage in continuous discovery with a pod (Product Manager and engineering tech lead).

Benefits

• Relevant degrees in design, HCI, or information architecture are welcome and not required — portfolio and shipped, measured work outweigh credentials.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed