Staff Product Manager, AI Applications

Company Overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles:

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

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Compress before you communicate. You think it through first, then lead with the bottom line.

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Resist entropy. You question what already exists before adding more process or tools.

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Solve the category. You fix recurring problems at the source, not one case at a time.

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Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-First by Default

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

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Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.

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Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.

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Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.

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Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

Company Overview

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.

Company Operating Rhythm

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.

The Role

Deepgram builds the voice AI models that power other companies’ products. We are also building our own line of AI applications — products that put our voice AI directly in the hands of the people who use them, knowledge workers and consumers alike — and those applications are a new revenue stream for the company. We are hiring a Staff Product Manager to define that line and to build it into a profitable business.

This is a product management role in the conventional sense: you own the product, its direction, and its decisions, and engineering builds it. What sets the role apart is the moment. The team, the models, and the first applications are in place. The strategy for the line — which products we build, for whom, and how they make money — is yours to set, to defend with evidence, and to keep steady while the company’s attention on it stays high. You report to the VP of Self-Serve.

What You’ll Do

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• Own the strategy for Deepgram’s AI applications: decide which products the line consists of, who they are for, and why they win
• write it down
• defend it to executives
• and keep the direction stable while the team builds.

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Own the roadmap and its decisions — what ships, in what order, with which tradeoffs — from the applications we have today to the ones we have not built yet.

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Build the business: acquisition, activation, retention, and monetization, with the metrics, the targets, and a weekly read of whether the product is working and the business is becoming profitable.

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Represent the product with partners and customer