Staff Product Manager, AI Applications

Overview

Staff Product Manager to define Deepgram's line of AI applications that put its voice AI directly in the hands of knowledge workers and consumers, and to build it into a profitable business. Reports to the VP of Self-Serve.

What you'll do

• 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.
• Own the roadmap and its decisions (what ships, in what order, with which tradeoffs), from the applications available today to ones not yet built.
• Build the business: acquisition, activation, retention, and monetization, with the metrics, targets, and a weekly read of whether the product is working and the business is becoming profitable.
• Represent the product with partners and customers, and own what Deepgram commits to deliver and when.
• Run the team's operating rhythm (hypothesis, shipped change, honest measurement, next bet), with real usage by real people as the bar, starting with Deepgram's own employees as the first users.
• Partner daily with research on the models, with engineering and design on the build, and with marketing on the launch; bring the user's voice into every decision.
• Prototype: mockups, wireframes, and working prototypes are how you communicate; using the product every day is how you know it.

What you'll need

• Excellent product management judgment: own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority; able to show results.
• Required: a shipped consumer or prosumer application that people chose and paid for, with ownership of its funnel and business as well as its features.
• Zero-to-one product definition: taken a product from idea to a first version real users adopted (strategy, positioning, first release), and able to show what happened next.
• Required: deep AI fluency proven by shipped work; personally built and shipped AI into end-user applications, with strong, specific opinions about where models help, where they fail, and how to verify their output.
• Technical depth: reasons with engineering about models, latency, privacy, and platform tradeoffs; reads code; prototypes.
• Design sense: builds simple, effective interfaces and communicates ideas through mockups and prototypes, grounded in user research and testing.
• The judgment to distrust a number before building on it: asks whether a metric is real or an artifact of how it was measured, as a reflex.
• Clear communication with executives: leads with the decision, keeps method in reserve, and stays steady under pushback without caving or digging in.

Nice to have

• Experience building native desktop or mobile applications (Windows, macOS, iOS).
• Experience shipping a product through distribution partners, on someone else's platform and calendar.
• Experience with voice, audio, or real-time systems.
• Time in a company with both a self-serve and an enterprise motion.

Details

• Location: USA, remote.
• Expected to actively use and experiment with advanced AI tools in everyday work; the pace of change is rapid and day-to-day work evolves quickly.