Otter.ai provides an AI notetaker and conversational knowledge engine that transcribes meetings, turns them into searchable knowledge, and powers workflows with automated summaries, AI Chat, real-time transcription in multiple languages, speaker recognition, action item capture, and push to CRM (Salesforce). Otter serves sales teams (capture call notes, live coaching, automated follow-ups), education (capture lectures and discussions), media (interviews and production meetings), and recruiting (real-time interview help). Users report saving over four hours per week. Otter integrates with Zoom, Google Meet, Microsoft Teams, Slack, Salesforce, Google Drive, Notion, Jira, Dropbox, Google Calendar, and Google Docs. The platform also offers an MCP Server for ChatGPT, Claude, and other AI chat tools to securely access meeting knowledge.
Otter develops the Otter iOS app for mobile meeting capture, transcription, and knowledge management. The iOS engineering team builds and maintains features for live transcription (real-time speech-to-text), speaker recognition and labeling, automated summary generation, AI Chat (contextual Q&A across meetings), action item detection and assignment, audio recording from device microphone, file import for pre-recorded audio/video, push notifications for meeting summaries and action items, Channels (collaborative spaces for teams, projects, topics), integration with calendar apps (Google Calendar sync), and offline recording (capture without internet, sync when back online).
Mobile development in this context focuses on real-time speech-to-text processing (on-device or streaming API), audio recording with background mode support (record meetings while app is in background), speaker diarization (distinguishing multiple speakers), audio compression and upload for cloud processing, offline recording queue and synchronization, push notifications for completed transcriptions and action items, file management (import from Files app, camera for document scanning), Siri Shortcuts integration for quick meeting capture, Apple Watch companion app for meeting recording, accessibility features (VoiceOver, live captioning for hearing impaired), battery optimization for long meeting recordings, background audio capture and upload, and enterprise security features (encryption, SSO, compliance).
An AI-powered productivity and transcription company like Otter.ai hires:
These roles focus on building and maintaining the Otter iOS app used by millions to capture, transcribe, and derive insights from meetings, lectures, interviews, and sales calls. Engineers work on real-time speech-to-text accuracy, speaker recognition, automated summary generation with AI, background audio recording for hands-free capture, push notifications that deliver actionable insights, collaborative Channels for team knowledge sharing, integration with calendar and conferencing apps (Zoom, Meet, Teams), and enterprise-grade security — all while helping users save over four hours per week by automating meeting notes and follow-ups.
