AI-assisted text-based video and podcast editing for creators and teams
Descript builds a text-driven video and audio editor with an AI co-editor, Underlord, running on a GPU-heavy ML stack (PyTorch, CUDA, TensorFlow) across GCP, AWS and Azure. Hiring tilts toward marketing and product rather than engineering, and pain points cluster around converting self-serve users into enterprise pipeline, pointing to an upmarket push layered on a prosumer base. Infra concerns center on GPU cost and model-serving reliability.
Descript is a privately held software company founded in 2017 and headquartered in San Francisco, CA, with 51–200 employees. Its product lets users edit video and audio by editing a transcript, alongside a timeline editor, built-in recorder, automated design tools and hosted publishing for sharing. An AI co-editor called Underlord can generate and edit videos from a described goal. Use cases include product demos, training videos, screen recordings, podcasts and social clips, serving individual creators, prosumers and businesses. Hiring is currently focused in the United States.
Descript uses TypeScript, React and Node.js on the frontend and services, Python, PyTorch, TensorFlow, CUDA and C++ for ML, plus Kubernetes, Docker, Terraform, Temporal, PostgreSQL and Redis across GCP, AWS and Azure.
Yes. Marketing is the largest hiring area at Descript, with work on brand campaigns, a brand system and integrated field marketing programs, alongside product, design and sales roles in the United States.
Descript is enhancing its Underlord AI co-editor, building audio editing via latent inpainting, expanding GPU capacity and training pipelines, improving editor workflows and the self-serve journey, and launching field marketing.
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Descript's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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