Senior Product Marketing Manager, Text-to-Speech (TTS)

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT) and text-to-speech (TTS). The Senior Product Marketing Manager will own the go-to-market strategy for TTS, defining the narrative and driving adoption from developer trial through enterprise deployment.

Responsibilities:

• Own the TTS category narrative. Define what "TTS for voice agents" means in a way that plays to Deepgram's strengths and makes general-purpose providers look like the wrong tool for the job
• Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. TTS doesn't always sell alone; know how it fits into voice agent and speech-to-text (STT) deals and make sure it shows up at the right moments
• Lead product launches for TTS releases: new voices, model improvements, latency advances, deployment options. Clear messaging, sharp launch plans, tight cross-functional execution
• Own competitive positioning. Battlecards, objection-handling guides, and displacement plays against ElevenLabs, OpenAI, Amazon Polly, PlayHT, and others. Know where we win, where we lose, and why
• Enable sales and build proof points. Collateral, customer stories, and benchmarks that win TTS deals and surface TTS opportunities in broader conversations
• Collaborate with Product on market and competitive intelligence: what voice agent builders need, what competitors are doing, where the market is going
• Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, use case content, and SEO tied to how voice agent builders actually search
• Build AI-assisted PMM workflows. Use AI to accelerate research, competitive synthesis, and content production. Build repeatable systems, not one-off prompts. You set the strategy; AI handles the first drafts

Requirements:

• 5+ years of product marketing experience, including at least 2 years on infrastructure, API, or developer-facing products
• Strong messaging skills: you can build a positioning architecture from scratch and know the difference between a message that's technically accurate and one that actually moves people
• A high bar for quality: you notice when copy is off, when a layout doesn't work, when creative doesn't match the brand, and you can give useful feedback on all of it
• Working knowledge of the AI landscape: frontier models, major LLM providers, how the ecosystem fits together. You need to talk about this credibly with technical buyers
• Technical depth: you can engage with engineering and product teams, read API docs, and translate product-level details into market-facing narratives without oversimplifying
• Fluency in both product-led and sales-led growth motions, and how they interact
• Demonstrated AI fluency: concrete examples of AI-assisted workflows you've built, iterated on, and measured, with specific outcomes to back it up
• Experience in the voice AI space and familiarity with how TTS, STT, and large language models come together in a production voice agent stack
• Hands-on experience with AI-native tools across the stack: agentic coding (Claude Code, Codex) and collaborative work tools (Cowork, etc.)
• Experience with technical proof points, model benchmarks, or evaluation frameworks. In TTS, buying decisions often come down to a listening test
• Comfort operating where the playbook doesn't fully exist yet and you're building it as you go