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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing conversational behavior for LLM-based voice agents, with a strong focus on quality measurement practices and effective communication with engineering and ML teams. Proficient in developing design guidance for APIs and SDKs tailored for technical users.
Highest-signal resume keywords
Conversational Behavior DesignSpeech Pipeline FluencyQuality Measurement PracticesExceptional Writing CraftInfluencing Engineering Partners
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Conversational Repair DesignTurn-Taking PatternsInterruption HandlingConfirmation StrategiesLatency-Aware PacingTranscript ReviewDesign Guidance CreationProduction ExperienceASR and TTS Behavior UnderstandingStructured Failure Analysis
Soft Skills
Exceptional WritingCollaborationInfluencing Without Authority
Tools & Technologies
Voice Agent APISDKsAPIs
Industry Keywords
LLM-Based Voice AgentsSpeech PipelineConversational Quality EvaluationsDesign PrinciplesTechnical User Design
About the role
Key responsibilities & impact- Define Deepgram 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
What you’ll need- 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
Comp & perks- Equity
- Bonus
- Remote work
- AI-first work environment
- Global investors and strategic partners (company compensation context)