Staff Product Manager (Product-Led Growth)

COMPANY OVERVIEW

The company 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 the company in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The company 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, the company makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used the company to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

AI-FIRST BY DEFAULT

At the company, 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 the company 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. If you’re energized by experimenting, adapting, and learning constantly, you’ll thrive here. Expect your day-to-day to evolve as fast as the technology does.

The Opportunity

We are hiring a Staff Product Manager focused on product-led growth. You will own the growth of the developer's journey from first touch to committed customer — as much of that funnel as the team's size calls for — and you will build the product that moves it. This is a founding-era team: the systems are young, the questions are not handed to you, and the person in this role defines what good looks like rather than executing someone else's definition. You report to the VP of Self-Serve and partner daily with engineering, design, developer relations, and the product analyst who owns the measurement behind your work.

What You’ll Do

• 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.

You’ll Love This Role If You

• Get energized by being early — building the practice, not inheriting it.

• Have strong, evidence-backed opinions about product-led growth and are eager to be proven wrong by the data.

• Build things yourself. You prototype, you write the SQL to check a hunch, you stand up the landing page, you ship the fix. You do not wait for someone to build it for you.

• Reason at the altitude of a developer making an integration choice, increasingly with an AI agent in the loop.

• 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

• 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.

It Would Be Great If You Had

• 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.

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