Otter.ai Tech Stack

AI meeting transcription platform with agentic workflows

Software Development Mountain View, California 51–200 employees Privately Held

Otter.ai transcribes and summarizes meetings at scale using Python, Kafka, Cassandra, and LLM systems. The company's engineering-heavy hiring mix (13 of 22 open roles) and project focus on security infrastructure—cloud hardening, CI/CD automation, detection quality—reflect both rapid growth (scaling ML systems for millions of conversations) and operational maturity concerns that often emerge when single-product companies hit enterprise customer bases.

Tech Stack 59 technologies

Core StackPython Django MySQL Nginx Kafka Cassandra Redis Elasticsearch Go Java C++ AWS Linux JavaScript TypeScript Salesforce HubSpot Slack Workday Greenhouse Playwright Selenium HTML/CSS WebSockets HTTP SQL SharePoint Notion Pytest JavaScript/TypeScript+29 more

What Otter.ai Is Building

◆Challenges

Reducing cloud risk through automation
Reducing noise in alerts
Scaling ml systems for millions of conversations
Scaling enterprise support
Reducing manual testing efforts
Improving test execution speed
Improving detection quality
Improve detection and response
Scaling business
Maximizing customer value

▲Active Projects

Design secure cloud architectures
Build cloud security infrastructure
Harden ci/cd and infrastructure-as-code with security automation
Cutting-edge ai technology for meetings and conversations
Web application enhancement
Large-scale asr/nlp/llm systems for summarization and chat
Api-based ai workflows
Custom ml-enabled integrations
Ai-first strategy adoption
Harden ci/cd pipelines

Hiring Activity

Steady20 roles · 7 in 30d

Department

Engineering

Sales

Security

Data

Marketing

Ops

Product

Seniority

Senior

Mid

Staff

Director

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About Otter.ai

Otter.ai provides AI-powered meeting transcription and summarization for businesses. The platform captures voice data, generates real-time notes, identifies action items, and now includes voice-activated agents that participate in meetings. The company processes over 1 billion meetings for a user base spanning 35+ million accounts globally. Otter serves organizations across multiple sectors and operates from Mountain View, California with a focused team of 51–200 employees.

HeadquartersMountain View, California

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Otter.ai use?

Otter.ai's core stack includes Python, Django, MySQL, Kafka, Cassandra, Redis, and Elasticsearch for data processing, plus Go, Java, and C++ for performance-critical components. Frontend is JavaScript and TypeScript. Cloud infrastructure runs on AWS.

What is Otter.ai working on?

Current projects span AI infrastructure (large-scale ASR, NLP, LLM systems for summarization and chat), cloud security (architecture design, CI/CD hardening, infrastructure-as-code automation), and API-based agentic workflows for custom ML integrations.