Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
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.
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.
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.
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
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