Design conversational flows, personas, scripts, and content for chatbots and voice assistants. Collaborate with product, UX, and engineering to implement, test, and iterate conversational experiences aligned to brand voice, accessibility, and user needs. Use user research, analytics, and NLP techniques to optimize interactions.
Job Description: As a Conversational Designer, you will be responsible for creating engaging and natural language interactions for chatbots, virtual assistants, and other conversational AI systems. You will collaborate with cross-functional teams including developers, UX designers, and product managers to design and implement conversational experiences that meet the needs of users.
Your primary goal will be to create conversational flows that are user-friendly, intuitive, and efficient, while also aligning with the brand voice and tone. You will utilize your expertise in linguistics, user experience, and dialogue design to craft compelling conversational interactions.
Responsibilities:
- Collaborate with cross-functional teams, including product managers, developers, and UX designers, to define the conversational experience strategy and goals.
- Design conversational flows, dialogues, and user journeys for chatbots, virtual assistants, voice assistants, and other conversational interfaces.
- Create conversational personas and character profiles that align with the brand voice and target audience.
- Write conversational scripts and prompts that guide users through the interaction, ensuring clarity, natural language, and appropriate tone.
- Develop conversational content, including responses, error handling, and system prompts, that is tailored to user needs and context.
- Conduct user research and testing to gather insights on user preferences, expectations, and pain points, and iterate on the conversational design accordingly.
- Collaborate with developers to implement and integrate the conversational design using tools, platforms, or programming languages specific to the project.
- Continuously improve and optimize conversational interfaces based on user feedback, analytics, and industry best practices.
- Stay updated with advancements in conversational design, natural language processing, and AI technologies, and leverage them to enhance the conversational experiences.
- Advocate for user-centered design principles and ensure that the conversational interfaces adhere to accessibility, usability, and inclusivity standards.
Qualifications:
- Bachelor's degree in interaction design, user experience design, linguistics, cognitive science, or a related field. Advanced degrees are a plus.
- Proven experience as a Conversational Designer, Conversation Designer, UX Writer, or related roles, designing conversational interfaces and dialogues.
- Strong understanding of conversational design principles, including conversational flow, dialogue structure, user intents, and context management.
- Proficiency in writing conversational content that is concise, clear, and tailored to the target audience.
- Familiarity with natural language processing (NLP) concepts, intent recognition, entity extraction, and dialogue management.
- Experience with conversational design tools and platforms, such as Botmock, Dialogflow, or IBM Watson Assistant.
- Ability to collaborate effectively with cross-functional teams and translate user needs into conversational experiences.
- Excellent communication skills, both written and verbal, to effectively articulate design decisions and recommendations to stakeholders.
- Strong problem-solving and analytical thinking abilities, with a passion for creating intuitive and engaging conversational interactions.
- Portfolio showcasing conversational design projects and demonstrating your expertise in crafting conversational experiences is highly desirable.
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Manufacturing
Field-based Territory Sales Manager responsible for driving sales of Master Lock products, software, and services across West Texas. Build distributor and end-user relationships, deliver trainings and presentations, track pipeline in CRM, monitor market trends, support events, manage territory budget, and collaborate cross-functionally to grow market share.
Top Skills:
CRMMS Office
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead mid-market sales cycles for Coupa's spend-management platform: prospecting, multi-stakeholder deal management, executive engagement with CFOs, ROI/TCO business-case selling, pipeline ownership in Salesforce, quota attainment, and cross-functional collaboration with ADRs, SEs, and CS to accelerate wins.
Top Skills:
Ap AutomationCoupaCoupa AiErpSales Engagement ToolsSalesforce
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Design, deploy, and operate scalable data pipelines and cloud infrastructure for ML/GenAI, manage day-2 LLM serving platforms, automate IaC and platform maintenance, ensure observability and reliability, and support production ETL and incident response.
Top Skills:
AnsibleSparkAWSAzure AksBashChefDnsDockerEcsEksEmrGenaiGitHelmIamJavaJenkinsKubernetesLinuxLlmLoad BalancerLookerMlopsMySQLPythonRedshiftRundeckS3Terraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
