Staff Product Designer, AI

About the role

This role is accountable for the full observe → reason → decide → act → measure → improve loop across the product. It involves designing an agentic experience that is proactive, quietly powerful, and never overwhelming. The role requires deep design thinking and a proven ability to design in systems, not just screens.

Responsibilities

• 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.

Requirements

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. 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. 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.

Qualifications

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.

Skills

Exceptional craft and end-to-end thinking — problem framing, flows, UI, modern prototypes, iteration, and outcomes. Deep fluency in modern AI product design — understanding how models work well enough to design with their grain, not against it, and having opinions about what separates good AI UX from the merely functional. Expert-level proficiency in modern design and AI prototyping tools — using AI actively in your own design workflow, not just as a subject matter, and having 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. 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 — presenting your thinking clearly to engineers, PMs, and senior leadership, and making the case for why design decisions in AI systems are high-stakes, not cosmetic.

Benefits

Competitive compensation package, including an annual wellbeing allowance, 100% coverage of medical, dental, vision, disability, and life insurance, employer contribution towards retirement, and an Employee Stock Option Program.

Pay

$200,000-$230,000 in the San Francisco Bay or Los Angeles area, with final offer amounts determined by multiple factors including candidate expertise, the scope of role and level.

Schedule

Flexible work arrangements, with options for fully remote or a hybrid mix of office and home.