Senior Conversation Designer

We’re seeking an experienced Senior Conversation Designer to join our team building and iterating on our generative AI voice system. This role requires both a designer and builder mindset to advance our product, and you’ll have the opportunity to craft exceptional conversational experiences that feel natural, intuitive, and helpful to our users, across both voice and chat.

Day to day, you’re digging into conversation transcripts and metrics to find where real users are hitting friction, evaluating how models perform in production, and partnering closely with engineers to define prompts and guardrails for generative AI. You’re as comfortable creating a consistent voice, tone, and personality as you are debugging a fallback path or pushing prompt changes into Git Hub.

You’ll report to our Head of Product and partner with the Lead Conversation Designer to apply and contribute to design standards and processes. Beyond design, you’ll collaborate with product, engineering, and operations to align conversation design with broader product strategy. You’ll also drive research and testing across a range of methods, including user research, usability testing, A/B testing, QA, and regression testing, to keep improving the experience.

The role is hybrid, based in our NYC HQ three days a week, with occasional travel for company offsites.

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Note:

Conversation design is called different things at different companies. Even if your past titles don’t match, we’re looking for someone who can design AI and its underlying logic and training).

Slang’s conversation design practice holds itself to the highest standards in the industry, valuing both user-centered thinking and technical fluency. Our conversation designers are embedded in the engineering team, hold the vision for the overall product implementation, and advise engineers on what to build.

You’ll fit in here if you care deeply about building the right logic, advise on agent memory and state-based best practices, and use data to drive decisions that improve people’s experiences across interfaces.

You’ll thrive here if you’re enthusiastic about shaping how conversation design gets done at Slang: the standards, the patterns, and the reusable building blocks other designers build on. You’ll grow technically by going deeper into LLM integration and prompt engineering alongside engineers who take that work seriously, and you’ll help mature a design practice with real standards and processes behind it.

You will:

• Design end-to-end conversational flows for generative AI capabilities, for both voice and chat, that incorporate conditional logic, parameter handling, and tool calls
• Build robust error handling and fallback mechanisms for conversation recovery
• Create and test dialog that maintains a consistent voice, tone, and personality across the product
• Partner with engineers to define prompts and guardrails for LLM integration, and evaluate LLM performance in production
• Analyze conversation transcripts, audio, and metrics to identify friction points and turn them into concrete design improvements
• Define and document conversation design standards, best practices, and reusable patterns that scale across experiences

• 7+ years of experience designing conversational interfaces (voice assistants, IVR systems, or any kind of voice AI)
• Demonstrated expertise with both traditional NLU frameworks and generative AI/LLM technologies
• Experience contributing to design standards and following established processes
• Experience evaluating generative AI agents and with metrics-driven design
• Proven ability to design and build technically complex flows with multiple logical…