AI Frontier · Speech-to-text API
Currently tracking 2 active AI roles, with 5 new openings in the last 4 weeks. Primary focus: Ship · Engineering.
AssemblyAI currently has 2 active AI-related roles in our index. The most common open titles are: Applied AI Engineer , Senior Software Engineer, Go - LLM Team. Most positions are in Engineering.
AssemblyAI's active AI hiring is concentrated in: application (50%), agents (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at AssemblyAI most frequently reference: audio speech, agent orchestration, tool use, llm observability, model serving.
In the past 30 days, AssemblyAI has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Developer Relations Evangelist AssemblyAI is seeking a Developer Relations Evangelist to connect with the developer ecosystem building with voice AI. This role involves community building, content creation, live API demonstrations, and representing AssemblyAI at events. The ideal candidate has a technical background, experience in developer relations, and a proven ability to grow developer communities. | — | 5 |
| Founding Enterprise Account Executive Founding Enterprise Account Executive for AssemblyAI, a company specializing in Voice AI models. The role involves owning a book of strategic enterprise accounts, driving revenue, generating pipeline, and closing deals with technical buyers. Requires strong enterprise infrastructure or API sales experience, technical fluency, and the ability to build relationships and navigate complex sales cycles. | — | 5 |
| Product Marketing Manager AssemblyAI is seeking a Product Marketing Manager to support its marketing engine. The role involves owning website updates, enabling sales teams, and refreshing customer proof points. The PMM will also focus on key use cases like voice agents and medical scribes, developing positioning and campaigns. Responsibilities include website management, use case marketing, GTM enablement, customer marketing, and growth collaborations. Requires 2-3 years of B2B product marketing experience, strong writing skills for technical products, and the ability to translate technical capabilities into business outcomes. Familiarity with AI/LLMs in daily workflow is expected, with bonus points for AI/ML experience or marketing to developers. | — | 5 |