Descript currently has 7 active AI-related job listings. The majority of these roles are in the application stage, representing 43% of the openings, with an equal percentage also in the agents stage. Engineering is the primary function hiring for AI talent, with the United States being the dominant hiring country. Frequent tech tags include multimodal, evals, and model_serving, suggesting a focus on developing and deploying AI models.
Descript currently has 4 active AI-related roles in our index. The most common open titles are: Engineering Manager, Agent, Engineering Manager, Narrative Editing, Product Manager, AI Models, Product Manager, API & Platform. Most positions are in Product and Engineering.
Descript'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.
Descript is hiring AI talent in: United States (4 roles).
Job postings at Descript most frequently reference: multimodal, evals, model serving, agent orchestration, llm observability.
Currently tracking 5 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $171k–$286k (avg $228k).
AI Frontier · AI audio/video editing
| Title | Stage | AI score |
|---|---|---|
| Engineering Manager, Agent Engineering Manager for Descript's Agent team, focused on building the Agentic Video Editor, Underlord. The role involves managing a team of 5-6 software engineers, driving product experience for agentic video editing, leading experimentation, strengthening Evals, and partnering with AI Research on exploratory improvements. The team is scaling its agent infrastructure and product experience. | Agent | 8 |
| Product Manager, AI Models Product Manager to lead the AI Research and Enablement roadmap, focusing on integrating cutting-edge AI research with production ML infrastructure and product strategy. Responsibilities include making build vs. buy decisions, guiding research direction, owning the evals strategy, driving quality standards for AI models, and optimizing costs and infrastructure for AI capabilities. Requires experience in AI/ML product management, understanding of ML systems and LLMs, and experience with production AI/ML shipping, evals frameworks, training, and inference infrastructure. | ShipPost-train | 8 |
| Engineering Manager, Narrative Editing Engineering Manager for the Narrative Editing team at Descript, focusing on integrating generative AI and script-based editing into video creation workflows. The role involves managing a team of software engineers, partnering with AI teams, and driving product quality and iteration for AI-powered features. | ShipPost-train | 7 |