Staff Product Designer, AI

Role Overview

Why This Role Matters

What You'll Own

• Agentic surfaces — how opportunities emerge, how Linktree explains its reasoning, and how creators understand what's about to happen before it does.
• Action execution UX — previews, confirmations, execution states, undo and rollback, activity logs, and failure handling that feels honest rather than apologetic.
• Autopilot controls and guardrails — user permissions, sensitivity settings, "act vs. ask" thresholds, and the controls that let creators calibrate how much autonomy they hand to the system.
• AI UX system primitives — the reusable patterns and components that power agent recommendations, tool execution states, trust signals, and confidence cues across every team building AI features.
• Measurement and learning loops — how impact is shown, how the system demonstrates it's getting better, and how creators correct it when it's wrong.

What You'll Do

• Lead design for an embedded agentic experience that is proactive, quietly powerful, and never overwhelming — grounded in user research and data at every stage.
• Partner closely with ML, data, and engineering to translate model capability into human-understandable, actionable experiences that work in the messy real world.
• Define the UX contract for tool-calling: what actions exist, what inputs they require, what constraints and permissions apply, and what the safe defaults are.
• Create experience maps and flows that scale gracefully from guided → assisted → autonomous behaviour as creator trust develops over time.
• Drive alignment across Product, Engineering, Data, and Trust on the principles and patterns that make agentic behaviour coherent and safe across the product.
• Establish the success metrics and qualitative signals — adoption, trust, undo rates, satisfaction, measured impact — that will guide iteration and give the team honest feedback on what's working.
• Influence the AI product roadmap directly, providing design oversight that ensures coherent AI experiences across creation, insights, monetisation, and trust surfaces.
• Raise the bar for AI design craft across the broader design team — through reviews, critiques, pattern documentation, and knowledge-sharing that helps every designer working on intelligence-adjacent features do it better.

What We're Looking For

• 8+ years of product design experience, including significant ownership of complex, cross-functional systems at scale.
• Proven ability to design in systems, not just screens — patterns, primitives, frameworks, and scalable UX architecture that other teams can build on.
• Strong judgment on trust, safety, and control: permissions, guardrails, reversibility, transparency, and the edge cases that reveal whether a system is actually well-designed or just demo-ready.
• Comfort designing across ambiguity — you can take a fuzzy AI capability and turn it into a clear user value proposition and coherent product behaviour without waiting for perfect specifications.
• Deep fluency in modern AI product design — you understand how models work well enough to design with their grain, not against it, and you have opinions about what separates good AI UX from the merely functional.
• Expert-level proficiency in modern design and AI prototyping tools — you use AI actively in your own design workflow, not just as a subject matter, and you have strong judgment on when a working prototype, a high-fidelity mock-up, or a lightweight flow is the right tool to move a conversation forward.
• A portfolio that demonstrates exceptional craft and end-to-end thinking — problem framing, flows, UI, modern prototypes, iteration, and outcomes — with at least some work that shows how you've handled the unique design challenges of systems that act on users' behalf.
• Strong collaboration with engineering and ML/data partners, with the ability to influence product strategy as well as execution quality.
• Excellent communication and storytelling skills — you can present your thinking clearly to engineers, PMs, and senior leadership, and you can make the case for why design decisions in AI systems are high-stakes, not cosmetic.

Bonus Points

• Experience designing for AI-driven systems — recommendations, automation, decision support, personalisation, or ranking — where the product is making consequential decisions on a user's behalf.
• Experience with experimentation platforms, evaluation design, and measuring causal impact of AI interventions.
• Familiarity with platform and tooling concepts (APIs, internal tools, agent-callable actions) and how they map to UX states and design contracts.
• Experience working on creator tools, SMB platforms, or growth and optimisation surfaces.

Why You'll Love It Here

• Work on one of the most genuinely interesting design problems in consumer AI — not a chatbot, but an embedded agentic experience that has to earn trust through every interaction.
• Join a product that 70+ million creators already rely on, with the reach to make great AI design matter at real scale.
• Be part of a collaborative, inclusive culture that values diversity and innovation.
• Shape Linktree's AI product strategy directly — this is a role with genuine influence over what we build and how we build it.
• Enjoy competitive compensation, flexible work arrangements, and robust professional development opportunities.

Our Story

Where and How We Work

How we’ll help you thrive

• An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
• 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
• Employer contribution towards your retirement.
• Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
• Employee stock option program - we want each and every employee to share in the company’s success.