Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 500M+ inference calls monthly, and process nearly 2 million hours of audio daily. The Voice AI space is at an inflection point; we’re looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry. We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world-renowned enterprises, and are serving at tremendous scale: we process nearly 2 million hours of audio daily and handle more than 15 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees to be deeply intimate with the details at all levels. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. About the role More and more developers don't read our docs or click through our dashboard. Their coding agent does. Claude Code, Cursor, Codex and others are now how a big share of engineers discover, integrate and debug AssemblyAI. We've spent years polishing the human experience. The agent experience (AX) is newer, growing fast, and almost untouched. That's the job. You'll own how AI agents build with AssemblyAI: the skills, prompts, MCP server, code samples, docs and integrations an agent reads and runs when a developer says "add transcription to my app." Your north star is simple: an agent should go from zero to a working, production-grade AssemblyAI integration on the first try. You'll work closely with senior engineers on our Product Engineering team, with real ownership from day one and room to grow into leading AX as the area scales. Responsibilities Drive the agent experience. Treat coding agents as a first-class user of AssemblyAI, alongside the humans who use our dashboard and Playground. Build and maintain agent skills. Ship skills for our core products (Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, LLM Gateway) that teach agents how to integrate us correctly. Build on our MCP server and agent integrations. Extend the AssemblyAI MCP server, help ship agent and MCP auth (OAuth and API keys), and make it easy to plug into Claude Code, Cursor, Codex and whatever comes next. Make our docs and code samples agent-ready. Own llms.txt, machine-readable docs, quickstarts and SDK examples so agents pick the right API, parameters and patterns the first time. Tune the prompts and instructions behind our product. Improve the system prompts, tool definitions and agent instructions that power our in-dashboard agent and onboarding flows. Measure it. Build evals and benchmarks that run real coding agents against real integration tasks. Track success rate, time to first working call, and activation from agent-driven signups. Help us scale the playbook. Start with one product and then roll what works across every product. Use AI tools as a core part of how you work, and help the rest of engineering build faster with agents. Requirements 2+ years of professional software engineering experience, with solid full-stack fundamentals (Javascript and/or Python). Daily, hands-on use of coding agents such as Claude Code, Cursor or Codex, and real curiosity about what makes them succeed or fail. Some hands-on experience writing prompts, skills, tool definitions or agent instructions, at work or side projects, and an interest in measuring them with evals rather than vibes. Product sense for developer-facing work. You care whether the developer, or their agent, actually gets to a working integration. Clear technical writing. Much of this role is writing that agents and humans both read. Comfort with ambiguity and a bias to ship. AX is a new discipline, and you'll learn it and help define it alongside us. Nice to have Working knowledge of MCP, LLM tool calling, and how agents read docs and APIs. You've built or contributed to an MCP server, agent skill library, or coding agent plugin. Developer relations, docs engineering, or SDK experience at an API-first company. Experience with Voice AI, speech-to-text, or LLM APIs. You've shipped something that agents use in the wild, and can show us the before and after. Pay Transparency AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided ranges are the expected salaries for candidates in the United States (USD) and Canada (CAD). Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. USD Salary Range: $160,000 - $210,000 CAD Salary Range: C$225,000 - C$285,000 Using AI in your interview If you’re selected for an interview, please read our Candidate AI Guidance. It explains how you can use AI at each stage of our process, from your application and take-home to the interviews themselves. GDPR privacy notice If you’re applying from the EU or UK, please review our Job Applicant Privacy Notice before applying. Keep exploring AssemblyAI Transcribe: Speech-to-Text | Streaming Speech-to-Text Understand: Speech Understanding | LLM Gateway Interact: Voice Agent API | Dictation API Try our models in the Playground See how 50+ LLMs rank on real voice tasks: Voice Standard Bench Watch us on YouTube
