DescriptionShape the future of User Experience and Conversational AI design with strategic initiatives that blend business needs user insights and cutting-edge AI technologies.
As a UX Conversation Designer Senior Associate in the Employee Experience team you will help shape the user experience across our products and services including the design and development of the conversational experience for the internal Employee Assistant.
This position is ideal for a designer with experience in Conversation Design and a solid understanding of large language models(LLMs). You will play a key role in driving innovation and leveraging your expertise in language models to inform our broader strategy for working with LLMs.
Your expertise in Design Thinking UX Research Practices and Conversational Interface Design will support strategic initiatives and develop innovative successful candidate will engage cross-functional stakeholders advocate for user-centered design through compelling storytelling and excel at translating design vision into solid deliverables.
Designers should also be familiar withinclusive design practices which will help ensure the Employee Assistant is not only visually appealing but also accessible.
Job Responsibilities
- Design AI-powered end-to-end use case flows (for chat interfaces voice interfaces and multi-modal experiences)for the Employee Assistant through wireframes prototypes decision trees logic frameworks prompt playgrounds or other Conversational AI tools
- Propose solutions that are intuitive user-centric drive efficiency and user engagement while also aligning with business objectives
- Conduct or work with UX Research to conduct usability testing observational testing and other forms of research to gather data insights from real users
- Operate with an iterative design mindset gathering and incorporating user and agent feedback to continuously improve the overall experience the Employee Assistant
- Work within a Design System to produce and contribute to patterns including Conversational UI components and to develop and refine our Visual and Conversational Design Language.
- Leverage expertise in LLMs to contribute to the broader Conversational AIstrategy including how design processes will evolve when building with LLMs
- Conduct data driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision making
- Collaborate with cross-functional teams to integrate UX and Conversational Design into the product development process
- Collaborate with ML (Machine Learning) teams to train LLMs based on Conversational Design principles and industry best practices
- Conduct ideation and alignment workshops with project stakeholders ensuring alignment and understanding amongst stakeholders
- Present your work to business stakeholders and the broader product and technology organization articulating your design rationale and decisions with clarity and impact through engaging storytelling and comprehensive documentation
Required Qualifications Capabilities and Skills
Preferred Qualifications Capabilities and Skills
- Experience designing and deploying experiences using prompt playgrounds such as MindStudio or similar
- Experience supporting design work in employee assistant tools Conversational AI or AI-driven product teams.
- Prior experience working in complex business domains or in enterprise environments (financial services or other) working on large-scale transformation programs including AI tool deployment.
- Ability to understand and articulate how technical constraints and opportunitiesincluding AI/ML capabilitiesinfluence design solutions.
- Familiarity with technology concepts and an understanding of various technical approaches and lifecycles (e.g. agile development methodologies DevOps practices frontend development structures and AI model deployment).
- Understanding of product lifecycles from a UX and conversational AI perspective (e.g. how user and conversational experiences evolve throughout the different stages of a products lifecycle)
Required Experience:
Senior IC
DescriptionShape the future of User Experience and Conversational AI design with strategic initiatives that blend business needs user insights and cutting-edge AI technologies.As a UX Conversation Designer Senior Associate in the Employee Experience team you will help shape the user experience acros...
DescriptionShape the future of User Experience and Conversational AI design with strategic initiatives that blend business needs user insights and cutting-edge AI technologies.
As a UX Conversation Designer Senior Associate in the Employee Experience team you will help shape the user experience across our products and services including the design and development of the conversational experience for the internal Employee Assistant.
This position is ideal for a designer with experience in Conversation Design and a solid understanding of large language models(LLMs). You will play a key role in driving innovation and leveraging your expertise in language models to inform our broader strategy for working with LLMs.
Your expertise in Design Thinking UX Research Practices and Conversational Interface Design will support strategic initiatives and develop innovative successful candidate will engage cross-functional stakeholders advocate for user-centered design through compelling storytelling and excel at translating design vision into solid deliverables.
Designers should also be familiar withinclusive design practices which will help ensure the Employee Assistant is not only visually appealing but also accessible.
Job Responsibilities
- Design AI-powered end-to-end use case flows (for chat interfaces voice interfaces and multi-modal experiences)for the Employee Assistant through wireframes prototypes decision trees logic frameworks prompt playgrounds or other Conversational AI tools
- Propose solutions that are intuitive user-centric drive efficiency and user engagement while also aligning with business objectives
- Conduct or work with UX Research to conduct usability testing observational testing and other forms of research to gather data insights from real users
- Operate with an iterative design mindset gathering and incorporating user and agent feedback to continuously improve the overall experience the Employee Assistant
- Work within a Design System to produce and contribute to patterns including Conversational UI components and to develop and refine our Visual and Conversational Design Language.
- Leverage expertise in LLMs to contribute to the broader Conversational AIstrategy including how design processes will evolve when building with LLMs
- Conduct data driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision making
- Collaborate with cross-functional teams to integrate UX and Conversational Design into the product development process
- Collaborate with ML (Machine Learning) teams to train LLMs based on Conversational Design principles and industry best practices
- Conduct ideation and alignment workshops with project stakeholders ensuring alignment and understanding amongst stakeholders
- Present your work to business stakeholders and the broader product and technology organization articulating your design rationale and decisions with clarity and impact through engaging storytelling and comprehensive documentation
Required Qualifications Capabilities and Skills
Preferred Qualifications Capabilities and Skills
- Experience designing and deploying experiences using prompt playgrounds such as MindStudio or similar
- Experience supporting design work in employee assistant tools Conversational AI or AI-driven product teams.
- Prior experience working in complex business domains or in enterprise environments (financial services or other) working on large-scale transformation programs including AI tool deployment.
- Ability to understand and articulate how technical constraints and opportunitiesincluding AI/ML capabilitiesinfluence design solutions.
- Familiarity with technology concepts and an understanding of various technical approaches and lifecycles (e.g. agile development methodologies DevOps practices frontend development structures and AI model deployment).
- Understanding of product lifecycles from a UX and conversational AI perspective (e.g. how user and conversational experiences evolve throughout the different stages of a products lifecycle)
Required Experience:
Senior IC
View more
View less