5-7 years of product management experience, particularly in AI or tech-driven environments.
Proven track record of launching consumer or prosumer applications that generate revenue.
Experience in zero-to-one product development, from concept to market.
Deep understanding of AI technologies and their practical applications.
Technical proficiency to engage with engineering on complex issues.
Strong design sensibility for creating user-friendly interfaces.
Ability to critically assess metrics and data integrity.
Responsibilities
Define and own the strategy for Deepgram's AI applications, including product selection and target audience.
Manage the product roadmap, prioritizing features and trade-offs for development.
Drive business growth through user acquisition, retention, and monetization strategies.
Act as the primary representative for the product with partners and customers, ensuring delivery commitments are met.
Establish and maintain the team's operational rhythm, focusing on real user feedback and iterative improvements.
Collaborate closely with research, engineering, design, and marketing teams to integrate user insights into product decisions.
Create prototypes and mockups to communicate product ideas and validate concepts.
Benefits
Flexible work environment with opportunities for remote work.
Access to cutting-edge AI technology and tools.
Collaborative team culture that values innovation and creativity.
Professional development opportunities to enhance skills and career growth.
Health and wellness benefits to support employee well-being.
Full Job Description
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
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 we have today to the ones we have not built yet.
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.
Represent the product with partners and customers, and own what we commit to deliver and when.
Run the team's operating rhythm - a hypothesis, a shipped change, an honest measurement, the 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.
You'll Love This Role If You
Want to define a product line rather than inherit one, and have done the zero-to-one work before, so you know what it costs.
Believe that voice changes what software can do for a person, and have built toward that belief.
Keep a direction under executive attention and strong opinions, and bring people along with evidence rather than volume.
Build things yourself - a prototype, your own analysis, the fix - and never stop.
Are genuinely AI-native: you work with these tools all day, you know where they help and where they mislead, and you turn them on your own problems.
It's Important to Us That You Have
Excellent product management judgment. You own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority. You can show the results.
A shipped product that people paid for. This is required. You have built and shipped a consumer or prosumer application that people chose and paid for, and you owned its funnel and its business as well as its features.
Zero-to-one product definition. You have taken a product from an idea to a first version real users adopted - the strategy, the positioning, the first release - and you can show what happened next.
Deep AI fluency, proven by shipped work. This is required. You have personally built and shipped AI into end-user applications and have strong, specific opinions about where models help, where they fail, and how to verify what they produce.
Technical depth. You reason with engineering about models, latency, privacy, and platform tradeoffs; you read code; you prototype.
Design sense. You build simple, effective interfaces and communicate ideas through mockups and prototypes, grounded in user research and testing.
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, keep your method in reserve, and stay steady under pushback without either caving or digging in.
It Would Be Great If You Had
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.
