Senior Product Designer (Agentic AI Platform)

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The Senior Product Designer owns end-to-end design for agentic AI platform. The role modernizes complex business workflows through thoughtful UX, strong product thinking, and practical application of AI tools. It is focused on rethinking workflows rather than redesigning screens: taking ambiguous product areas, finding the real problem, and giving teams something concrete to build toward.

The role drives design from discovery through polished execution at high velocity, partnering closely with Product, Engineering, and commercial to define solutions, rapidly prototype and validate ideas, and shape product direction.

KEY RESPONSIBILITIES

End-to-End Product Design

• Drive end-to-end product design across discovery, definition, prototyping, validation, and final execution with high velocity and exceptional craft.
• Own customer journeys, flows, interaction design, and visual design for the agentic AI products, including the tools teams use to configure, steer, and evaluate AI agents.
• Create high-fidelity designs, interactive prototypes, and decision-driving artifacts that directly influence product direction.

AI-Native Experience Design

• Design AI-native experiences and define new interaction patterns for how users research, draft, review, and work with AI.
• Design intelligent, AI-augmented workflows — including agentic flows, conversational interfaces, recommendation-driven experiences, context-aware experiences, and personalization.
• Define where AI should act, where it should assist, and where human judgment and oversight are non-negotiable in the experience.

Direction on Undefined Problems

• Take product areas where the direction is still ambiguous, find the real problem, and give the team something concrete to build toward.
• Rethink workflows end to end rather than simply redesigning screens.

AI-Accelerated Design Practice

• Leverage AI, automation, and modern design tooling (e.g., Claude, ChatGPT, Copilot, Figma Make, or similar) to accelerate exploration, iteration, and production readiness.
• Move from idea to working prototype in a matter of hours using AI-assisted prototyping as part of the daily workflow.

Design System & Craft

• Contribute to and evolve a scalable design system that supports speed, consistency, and product complexity.
• Champion simplicity, clarity, and craftsmanship in every detail.

Validation & Iteration

• Rapidly prototype and validate ideas with users and stakeholders, and drive measurable improvements through iteration and user feedback.
• Apply customer empathy and research insight to build accessible and inclusive user experiences.

KEY DELIVERABLES

• End-to-end designs for agentic AI product(s) experiences (research, flows, interaction design, visual design)
• High-fidelity designs and interactive prototypes
• Decision-driving design artifacts that shape product direction
• New AI-native interaction patterns (agentic flows, conversational interfaces, context-aware and recommendation-driven experiences)
• Design system contributions and evolution
• AI-assisted research, prototyping, and workflow-exploration outputs
• Validated design iterations with documented, measurable improvements
• Concrete design direction for previously undefined problem areas

SUCCESS MEASURES

• Complex business workflows modernized end to end, not just re-skinned; with measurable reductions in manual effort and workflow friction
• AI-native experiences shipped into real operational environments and adopted by users
• Measurable improvements delivered through iteration and user feedback
• Ambiguous product areas converted into concrete, buildable design direction
• Prototyping and validation cycle times reduced through AI-assisted tooling
• A design system that demonstrably supports speed, consistency, and product complexity
• Design artifacts that directly influence product decisions and direction

DESIRED QUALIFICATIONS

• 8+ years of expertise applying human-centered design practices to digital and mobile product experiences across all development phases
• 2+ year designing AI products or AI-powered experiences
• A track record of designing and shipping enterprise software used in real operational environments
• Experience designing AI-powered, conversational, recommendation-driven, or context-aware experiences
• Demonstrated use of AI tools such as Claude, ChatGPT, Copilot, Figma Make, or similar throughout the design process, with actual examples of AI-assisted research, prototyping, workflow exploration, or design iteration
• Fluency with AI-assisted prototyping and design tooling as part of a daily workflow — going from idea to working prototype in a matter of hours
• A record of driving measurable improvements through iteration and user feedback
• Deep understanding of user needs, industry trends, and the competitive landscape to craft engaging, intuitive, and user-friendly product experiences
• Experience working from discovery through polished execution in ambiguous, high-velocity environments, collaborating closely with Product, Engineering, and Research

EXPECTED QUALIFICATIONS

• A clear point of view on where AI accelerates design work and where human judgment is non-negotiable
• Strong product thinking: designs and artifacts that drive decisions, not just visuals
• Systems thinking: building for scalability, consistency, and product complexity through design systems
• A growth-focused mindset centered on constant innovation, applying customer empathy to build accessible and inclusive user experiences
• Clear communication, high agency, and the ability to create momentum from a blank page
• Ability to manage multiple initiatives and balance strategic and tactical work effectively
• Experience leading UX in enterprise, SaaS, or complex systems environments

RELATED TECHNOLOGIES AND CONCEPTS

• AI design tools: Claude, ChatGPT, Copilot, Figma Make
• AI-native experiences: agentic flows, conversational interfaces, recommendation-driven experiences, context-aware experiences, personalization
• Design disciplines: UX, interaction design, visual design, prototyping, user research
• Enterprise product design and design systems
• AI-assisted research, prototyping, workflow exploration, and design iteration
• Accessibility, inclusivity, customer empathy, and human-centered design principles