O
Otter.ai transcribes and summarizes meetings at scale, processing over 1 billion conversations through a polyglot backend (Python, Go, Java, C++) running on Kafka, Cassandra, and AWS. The tech stack reveals a data-intensive operation: Elasticsearch for search, Snowflake + BigQuery + Databricks for analytics, and Apache Airflow + dbt for pipeline orchestration. Engineering-heavy hiring (16 of 32 open roles) with a security-first lean (CI/CD hardening, cloud architecture design, infrastructure-as-code automation) suggests the company is solving scale and compliance challenges head-on as it expands into enterprise deployments.
Tech Stack 67 technologies
Core StackPython Django MySQL Nginx Kafka Cassandra Redis Elasticsearch Go Java C++ AWS Salesforce HubSpot Slack Workday Greenhouse Kotlin Snowflake BigQuery Databricks Apache Airflow dbt Apache Spark Dagster Notion Android Google Play Outreach Sales Navigator+36 more
What Otter.ai Is Building
◆Challenges
- Reducing cloud risk through automation
- Reducing noise in alerts
- Scaling ml systems for millions of conversations
- Improving search accuracy
- Optimizing search performance
- Scaling data infrastructure for rapid growth
- Integration challenges
- Improving detection quality
- Improve detection and response
- Expanding into new office
▲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
- Enterprise search infrastructure
- Ranking algorithm development
- Real-time data movement and processing platform
- Expansion opportunities within installed accounts
- Mobile-first spa transformation
- Harden ci/cd pipelines
Hiring Activity
30 roles · 20 in 30d
Department
Seniority
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