[Remote] Staff Product Manager (Product-Led Growth)

Note: The job is a remote job and is open to candidates in USA. Deepgram is a platform providing real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents. The Staff Product Manager will own and grow the product-led growth funnel from first developer touch to committed customer, leading onboarding, activation, experimentation, measurement, and cross-functional growth initiatives.

Responsibilities

• The growth of the PLG funnel — the metrics, the experiments that move them, and the product changes behind them. Your span may be one part of the funnel or the whole of it, and it can grow or narrow as the team does
• The product across that experience — onboarding, the console, and the activation path a developer travels. You decide what ships and why; engineering builds it, and the developer-experience team owns the SDKs and docs you build on
• The complete system your area runs on, stood up from scratch: the rhythms of business, data-driven optimization, and the experimentation platform. You build it yourself or in-house, or you research and deploy the best tools available
• A weekly rhythm of shipping and measuring: a hypothesis, a change, an honest read of whether it worked, and the next bet. Not a roadmap of features shipped on faith
• The cross-team work that falls between owners: with developer relations on acquisition and the shared developer platforms, with marketing on search and answer-engine presence, with sales and customer success on the handoff, and with the analyst on definitions and instrumentation

Skills

• Product-led growth experience. This is mandatory. You have owned a PLG funnel metric — activation, conversion, retention, or acquisition — and moved it, in a product real users adopted without a salesperson
• A track record as an all-around excellent PM: you set direction, you decide under uncertainty, you ship, and you can show the outcomes
• The instinct and ability to build. You are technical enough to prototype, to reason about engineering tradeoffs, and to do your own analysis rather than wait on someone else's
• Proven ability to stand up a complete system from scratch — the rhythms of business, the reporting and optimization, the experimentation platform — yourself or in-house, or by researching and deploying the right tools
• Genuine AI fluency, judged by what you produce, not what you claim. You have built AI into your workflow past the first demo, you verify what it gives you, and you have a point of view on where it is still wrong
• The judgment to distrust a number before you build on it. You ask whether a metric is real or an artifact of how it was measured, as a reflex
• Clear communication with executives: you lead with the decision, hold your method in reserve, and hold up under pushback without either caving or digging in
• Experience with a developer or API product, and fluency in how developers adopt SDKs and APIs
• A view on how AI coding agents change discovery and integration, and what it means to have an agent as your user
• A computer-science or engineering background, or a history of shipping your own side projects
• Experience with the tools we use — Superset, Heap, GrowthBook, and the like
• Time in a company that ran both a PLG and an enterprise motion, and understood how they feed each other

Benefits

• Offers Equity
• Offers Bonus

Company Overview

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