Product Marketing Manager, STT - Remote Eligible

Opportunity

Voice agents are becoming standard infrastructure for customer-facing businesses, and text-to-speech (TTS) is what separates a voice agent that feels natural from one that feels broken. We're looking for a Senior PMM to own our go-to-market motion in TTS and make Deepgram the default choice for teams building voice agents.

This is a market ownership role. You'll define how Deepgram shows up in the TTS space, build the narrative that sets us apart from general-purpose providers, drive adoption from developer trial through enterprise deployment, and own product launches as they come. You'll work across Product, Sales, Developer Relations, and Demand Gen to make sure the TTS story is consistent, compelling, and closing deals.

We're an AI-native team. We expect AI to be woven into how you work, not something you reach for occasionally.

What You'll Do

• 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.

You'll Love This Role If You

• Are energized by owning a market, not just supporting a product. You want to shape how buyers think about the problem.

• Understand the voice agent stack well enough to tell a coherent story about where TTS fits and why it matters.

• Move fluidly between a developer audience and a business buyer without losing either one.

• Are comfortable marketing a product with both a technical integration story and an experiential one, where one buyer is reading API docs and another is deciding if a voice sounds right for their brand.

• Default to AI-first: you use AI continuously, have good judgment about when it's wrong, and think in systems rather than one-off prompts.

It's Important To Us That You Have

• 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.

It Would Be Great if You Had

• 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.