Staff Conversational Designer

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📋 Description

• Define [REDACTED] voice-agent persona and voice systems across experiences and use cases
• Design turn-taking, barge-in, and end-of-turn behavior with ML and Engineering
• Tune responsiveness against interruption risk for each use case
• Design conversational repair, no-match and no-input handling, and confirmation strategies
• Establish guardrails requiring confirmation before high-stakes actions
• Own latency-aware pacing and perceived responsiveness, including brevity, backchanneling, hold speech, and filler speech
• Establish conversational-quality evaluations and transcript-review practices
• Turn production failures into a repeatable design loop
• Build reference agent experiences and developer-facing design guidance for the Voice Agent API
• Partner with ML and Research on ASR and TTS behavior and conversation-quality criteria
• Set conversation-design principles, review standards, and shared vocabulary
• Report directly to the Director of Product Design as a Staff individual contributor

🎯 Requirements

• Deep experience designing conversational behavior for LLM-based voice agents or assistants
• Fluency with the speech pipeline from ASR through LLM to TTS
• Working understanding of where design decisions live in the speech pipeline
• Track record designing turn-taking, interruption, repair, and confirmation patterns that shipped in production
• Experience building quality measurement practices, including evals, transcript review, benchmarks, or structured failure-analysis loops
• Exceptional writing craft, including sample dialogs, design guidance, and documentation
• Experience influencing engineering and ML partners without direct authority
• Experience designing for developers or technical users, including APIs, SDKs, and documentation
• Working AI practice and perspective on appropriate AI-tool usage
• Pacific Time availability; preference for candidates located in San Francisco
• Must answer U.S. location and U.S. work-authorization/visa-sponsorship questions

🏖️ Benefits

• Equity
• Bonus
• Remote work
• AI-first work environment
• Global investors and strategic partners (company compensation context)

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