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AI note-taking devices and apps that record, transcribe, and summarize conversations.

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About Plaud

The company, in brief.

What they do

Plaud makes AI note-takers. These are small recording devices, such as the Plaud Note Pro and the NotePin, with a mobile app and a web app. The devices record meetings and calls, and Plaud's AI transcribes and summarizes them. Plaud says that it has over 3 million users in more than 170 countries. It also sells a plan for teams.

What they value

  • Pursue the state of the art.
  • Let others thrive.
  • Act from first principles.
  • Use AI to its fullest.
  • Dare to change.
  • Craftsmanship, ownership, and speed.

Where they hire

Most roles are in San Francisco. Others are in Singapore, Seattle, Palo Alto, Tokyo, and London, with single roles in Shenzhen, Taiwan, and Bentonville. No role is remote. US roles are hybrid, with at least three days a week in the office. Roles in Singapore and Tokyo are on site. No posting mentions visa sponsorship or the right to work.

Teams and roles

About half the 47 roles are in engineering, product, and research. Most of these are in San Francisco and Palo Alto.

  • Global Product R&D: full-stack, backend, mobile, firmware, and electronic engineers, test engineers, and an industrial designer. Some roles are for contractors.
  • Algorithms and Platform R&D: machine learning engineers who train and serve speech LLMs (large language models), and full-stack and mobile engineers.
  • Global Brand Center: eight marketing and design roles in San Francisco, London, and Tokyo.
  • User Ops and Growth: customer support, technical support, training, and a product manager for monetization. Four of its five roles are in Singapore.
  • Security: a security engineer in San Francisco, and a detection and response engineer in Singapore.

Plaud says that it is bootstrapped and profitable, with a $300M revenue run rate after three years. US roles give pay ranges, such as $125K to $165K for a talent acquisition partner. Contractor roles give hourly rates.

What they look for

Most engineering roles ask for three to six years of experience. Backend and full-stack roles ask for Go or Java, and full-stack roles also ask for React. Hardware roles ask for work on wearable or IoT devices, low-power systems, and Bluetooth. Mobile roles ask for iOS, Android, or Flutter, and for experience with the link between an app and a device. Machine learning roles ask for work on speech or audio models, and two of them ask for PyTorch.

About a quarter of the roles ask for daily use of AI tools. The senior security engineer will show their recent AI use in the interview. Three roles ask for Mandarin, and the Tokyo roles are written in Japanese and English.

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