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DeepgramDeepgramCalifornia

Senior Product Marketing Manager, Voice Agent

Owns the category narrative, positioning, launches, and go-to-market strategy for Deepgram’s Voice Agent platform. The role requires 5+ years of product marketing experience, technical fluency in AI and APIs, and the ability to engage both developer and enterprise audiences.

150k – 190k/yr
Remote5+ YOEProduct Marketing

About the role

Responsibilities

  • Own the voice agent category narrative and define what a production-grade voice agent platform is.
  • Build and execute go-to-market strategy across developer adoption, pipeline influence, and account expansion.
  • Lead product launches for Voice Agent releases, including conversational capabilities, latency and quality improvements, BYO model support, deployment, and compliance options.
  • Own positioning across DIY frameworks, managed platforms, and enterprise suites; create battlecards, objection-handling guides, and build-versus-buy narratives.
  • Enable Sales with collateral, customer stories, benchmarks, and total-cost-of-ownership narratives.
  • Collaborate with Product on market and competitive intelligence.
  • Drive developer-facing content and awareness with Developer Relations, including tutorials, documentation messaging, reference architectures, use-case content, and SEO.
  • Build AI-assisted product marketing workflows for research, competitive synthesis, and content production.

Requirements

  • 5+ years of product marketing experience, including at least 2 years working on infrastructure, API, or developer-facing products.
  • Strong messaging and positioning skills.
  • High standards for copy, layout, creative, and brand quality.
  • Working knowledge of the AI landscape, frontier models, major LLM providers, and the broader ecosystem.
  • Technical depth sufficient to engage with engineering and product teams, read API documentation, and translate product details into market-facing narratives.
  • Fluency in both product-led and sales-led growth motions.
  • Demonstrated AI fluency, including concrete examples of AI-assisted workflows with measured outcomes.

Nice to Have

  • Experience in voice AI and familiarity with how STT, TTS, and LLMs combine in production voice-agent stacks.
  • Familiarity with DIY frameworks, managed platforms, and other approaches to building voice agents.
  • Hands-on experience with AI-native tools such as Claude Code, Codex, and Cowork.
  • Experience with technical proof points, model benchmarks, or evaluation frameworks.
  • Comfort operating in an emerging category without an established playbook.

Skills

Product MarketingGo-to-Market Strategyproduct positioningvoice aispeech-to-texttext-to-speechLLMsapi marketingdeveloper marketingCompetitive IntelligenceProduct LaunchesAI Toolsmodel benchmarksSEOSales Enablement

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