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GranolaGranola

Product Engineer

Builds end-to-end transcription capabilities for a desktop application, spanning audio capture, media pipelines, speech-to-text integrations, native operating-system audio APIs, and transcription UX. The role requires strong TypeScript, Node.js, and React skills, with experience in audio or real-time systems preferred.

About the job

Responsibilities

  • Own and build transcription features end-to-end, including:
    • Audio capture on macOS and Windows
    • Echo cancellation
    • Connections to transcription providers and models
    • Local transcription models
    • Diarisation and attribution
    • Transcription UI/UX for the desktop app
    • Logging and evaluations to measure and improve performance
  • Use the product extensively to identify transcription issues and user pain points.
  • Optimize the application for speed, scale, and reliability.
  • Interact directly with users to understand problems and design solutions.
  • Collaborate with engineers, product managers, designers, and other team members to build the product.

Requirements

  • Experience with audio capture and real-time media pipelines.
  • Engineering experience at technology and product-driven companies.
  • Proficiency with TypeScript, Node.js, and React; Electron is preferred.
  • Ability to work with native code and operating-system audio APIs such as CoreAudio and WASAPI when needed.
  • Experience with speech-to-text models or providers.
  • Interest in AI/ML; direct experience is not required.
  • Comfortable working in a fast-paced startup environment with evolving requirements and priorities.
  • Willingness to work in person from the London office five days per week most of the time.

Benefits and Compensation

  • Salary positioned slightly above market, with above-market equity.
  • Relocation assistance for candidates moving to London.

Skills

TypeScript, Node.js, React, Electron, Coreaudio, Wasapi, Audio Capture, Real-Time Media Pipelines, Speech-To-Text Models, Transcription Models, Diarisation, macOS, Windows, AI/ML

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