Senior Product Builder - Consumer AI

Responsibilities

Frame the problem, not just the solution. You take a messy space — shifting user behaviour, an emerging AI capability, a business bet — and sharpen it into a crisp problem statement with a clear success condition.; Set the craft bar. You define what great looks like for your surface. You review work, call out the delta between good and great, and hold that standard under deadline pressure.; Prototype to think. You use AI-assisted tools to build working prototypes before specs are written. You don't wait for the design file to be finished before forming a point of view.; Lead the product strategy for your domain. You own the outcome, not just the output. You connect metric movements to specific design decisions and change direction when the data doesn't support the hypothesis.; Build the eval layer for your AI surfaces. When an AI feature ships, you own the quality bar — structured test cases, scoring criteria, and failure mode coverage. AI output is unverified until tested. "It looks right" is not a quality check.; Lift the team around you. You actively shape how other builders approach problems — through review, patterns, and shared standards. Leadership is a day-1 expectation at this level.; Model AI-native practice for the team. At this level, your job isn't just to use AI fluently — it's to help the people around you understand where it creates real leverage in their specific work. Not sharing tools. Demonstrating deliberate practice.; Maintain the design system as a shared knowledge layer. Token architecture, component docs, and pattern rationale kept in formats that engineers and AI tools can consume. Not just Figma files.

Requirements

Craft and product, not one or the other: Strong design eye with the ability to prototype consumer experiences end-to-end — from rough layout to precise interaction detail; Can spec requirements in forms that directly unblock engineers: verbal description, production URL reference, component vocabulary, or working prototype; Work has very few visual issues; holds the line on localisation, edge cases, and interaction precision — not just the happy path; Genuine fluency with consumer AI products: Has shipped AI-powered features that real users relied on — search, recommendations, generative UI, conversational interfaces, or similar; Understands where AI adds real value and where it adds noise; can articulate the design principles that distinguish the two; AI as a primary co-worker, not an occasional shortcut: You direct AI across your daily workflow — copy iteration, UI pattern generation, prototype production, research synthesis, localisation review — and validate outputs against your own judgment. You run materially faster than a conventional workflow without offloading the judgment layer. This is a baseline expectation for this role, not a differentiator.; Seniority that scales beyond yourself: Independently strategic — doesn't need the problem handed to them; At least one team around them is doing better work because of their involvement; Track record of making the right call in ambiguous, cross-functional situations; The building/selling test: Can point to a consumer metric that moved because of a design decision they owned; Can show work that others built on — a component, a pattern, a framing — not just work that shipped

Benefits

Career growth opportunities to take on greater challenges that help you realise your ambitions; Be part of a winning team on a journey to global scale; Competitive compensation based on performance; Candid, open, and collaborative culture where feedback is valued.