Staff Product Designer, Conversational AI

Deepgram · Remote · San Francisco, CA ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$180k – $240k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level IC role
  • Fully remote (PT zone)
  • Conversational AI focus
  • Define new discipline
  • Collaborate with ML/Eng

You will own the end-to-end conversation design for Deepgram's voice agents, defining persona, turn-taking, and recovery strategies. Working directly with machine learning and engineering partners, you will translate behavioral tradeoffs into production-grade features. The role requires establishing evaluation frameworks and developer guidance to ensure natural, high-quality interactions at scale.

What you'll do

  • Define persona and voice systems for consistent agent experiences
  • Design turn-taking, barge-in, and end-of-turn behaviors with engineering
  • Create conversational repair and confirmation strategies for high-stakes actions
  • Manage latency-aware pacing including brevity and backchanneling
  • Establish quality evaluation metrics and transcript review practices
  • Build reference agent experiences and developer-facing design guidance
  • Partner with research teams on ASR and TTS behavior criteria
  • Set conversation design principles and shared vocabulary for the team

What you'll need

  • Deep experience designing conversational behavior for LLM-based voice agents
  • Fluency with speech pipelines from ASR through LLM to TTS
  • Track record of shipping turn-taking and interruption patterns in production
  • Experience building quality measurement loops like evals or benchmarks
  • Exceptional writing craft for dialogs, guidance, and documentation
  • Ability to influence engineering and ML partners without direct authority
  • Experience designing for developers via APIs, SDKs, or documentation
  • Working AI practice with clear views on tool capabilities and limits

Nice to have

  • Experience with named assistant or production voice agent platforms
  • Practice with Wizard of Oz testing and sample dialog methods
  • Hands-on work with eval tooling for LLM or voice quality
  • Background in high-stakes or regulated conversation domains
  • Multilingual or cross-locale conversation design experience
  • Experience in high-growth B2B companies with self-serve motions

Stack

  • Voice Agent API
  • ASR
  • TTS
  • LLM
  • Evaluation tooling

How you'll work

  • Fully remote role
  • Must align with Pacific Time zone
  • Preference for San Francisco location
  • Fast-paced AI-first operating rhythm
  • Expectation to actively use advanced AI tools daily