Role Overview

We9re hiring a Staff Product Designer, AI to lead the design of that agentic experience end-to-end. Not as a chatbot bolted onto a product, but as intelligence woven into the fabric of how Linktree works - showing up in the right moment, in the right form, with the right amount of control in the creator9s hands.

This role sits at the intersection of UX systems, product design, and AI-enabled behaviour. You9ll define how intelligence shows up inside Linktree - how opportunities surface, how actions are proposed or executed, and how we earn and maintain trust through clear controls, feedback loops, and honest system behaviour. It9s one of the most consequential design roles at Linktree right now, and it will directly shape the core UX strategy for the rest of 2026 and beyond.

Why This Role Matters

At Linktree, we have something most companies building in this space don9t: a clear, real-world job to be done for millions of creators and businesses who want to grow their presence but don9t have the time or expertise to do it alone. The opportunity is to make Linktree feel less like a tool you operate and more like a system that works with you - one that earns autonomy over time by being useful, transparent, and safe. The design of agentic experiences is genuinely unsolved - and getting it right requires deep design thinking, not just technical integration.

As Staff Product Designer, AI, you9ll own the question of what that experience actually feels like. And then you9ll build it.

What You9ll Own

This role is accountable for the full observe 10 reason 10 decide 10 act 10 measure 10 improve loop across the product. That means designing:

• Agentic surfaces - how opportunities emerge, how Linktree explains its reasoning, and how creators understand what9s 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, 2act vs. ask2 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 it9s getting better, and how creators correct it when it9s wrong.

What You9ll 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 10 assisted 10 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 what9s 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 We9re 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 you9ve handled the unique design challenges of systems that act on users9 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 user9s 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.

Linktree is committed to providing a competitive compensation package. Our cash compensation amount for this role is targeted at $200,000-$230,000 in the San Francisco Bay or Los Angeles area. Final offer amounts are determined by multiple factors including candidate expertise, the scope of role and level, and may vary from the amounts listed above.

P.S. If you don9t tick every box in this listing, please don9t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes - so if this role resonates with you, hit that apply button!