Senior Product Marketing Manager, Voice Agent

Deepgram Inc.

Job Overview

Location

USA | Remote

Job Type

Full-time

Full Job Description

📋 Description

• Own the voice agent category narrative. Define what a production-grade voice agent platform is in a way that plays to Deepgram's strengths: one owned, end-to-end stack with sub-300ms latency, barge-in, and turn-taking.
• Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. Voice agents are where STT, TTS, and LLM orchestration come together; own the full-stack story while knowing how the pieces show up in broader deals.
• Lead product launches for Voice Agent releases: new conversational capabilities, latency and quality advances, BYO model support, deployment and compliance options. Clear messaging, sharp launch plans, tight cross-functional execution.
• Own positioning across the build spectrum. Understand the different approaches teams take to building voice agents, from DIY frameworks to managed platforms and enterprise suites, and build the battlecards, objection-handling guides, and build-vs-buy narratives that show why the unified-API approach wins for production.
• Enable sales and build proof points. Collateral, customer stories, benchmarks, and TCO narratives that win voice agent deals and stand up to technical and economic scrutiny.
• Collaborate with Product on market and competitive intelligence: what voice agent builders need, what the market is shipping, where it's going.
• Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, reference architectures, 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.
• 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 why an owned, end-to-end platform beats a stitched-together one, and where the build-vs-buy line falls for different buyers.
• Move fluidly between a developer audience and a business buyer without losing either one.
• Are comfortable marketing a product with both a technical architecture story and an experiential one, where one buyer is reading API docs and another is judging whether the agent sounds and responds like something they'd put in front of customers.
• 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.
• 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 STT, TTS, and LLMs come together in a production voice agent stack, and with the range of ways teams build voice agents, from DIY frameworks to managed platforms.
• 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 voice agents, buying decisions often come down to a live conversation that either feels natural or doesn't.
• Comfort operating where the playbook doesn't fully exist yet and you're building it as you go.

🎯 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.

🏖️ Benefits

• Competitive salary and benefits package.
• Opportunity to work with a cutting-edge AI platform.
• Collaborative and dynamic work environment.

Skills & Technologies

Senior

Remote

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Deepgram Inc.

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About Deepgram Inc.

Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.

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