
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Read AI is an AI-powered meeting copilot and productivity platform that records, transcribes, summarizes, and extracts insights from meetings, emails, and messages. It provides real-time notes, automated meeting recaps, action items, and a searchable conversation intelligence (Search Copilot) that unifies insights across meetings, chats, and CRM systems. Delivered as desktop, mobile, and browser apps with integrations for Zoom, Google Meet, Microsoft Teams, Slack, Gmail/Outlook, and popular CRMs, Read AI targets teams and enterprises and emphasizes privacy and compliance (SOC 2, GDPR, HIPAA).
🕒 December 9, 2025
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Read AI is an AI-powered meeting copilot and productivity platform that records, transcribes, summarizes, and extracts insights from meetings, emails, and messages. It provides real-time notes, automated meeting recaps, action items, and a searchable conversation intelligence (Search Copilot) that unifies insights across meetings, chats, and CRM systems. Delivered as desktop, mobile, and browser apps with integrations for Zoom, Google Meet, Microsoft Teams, Slack, Gmail/Outlook, and popular CRMs, Read AI targets teams and enterprises and emphasizes privacy and compliance (SOC 2, GDPR, HIPAA).
• Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform. • Take ownership of critical components of our system, from conception to deployment and maintenance. • Practice quality assurance best practices including unit and integration testing. • Optimize data processing pipelines and storage solutions. • Integrate third-party services and data sources seamlessly into our platform. • Monitor, troubleshoot, and resolve issues related to infrastructure and operations to ensure maximum uptime and reliability. • Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.
• Bachelor's degree or higher in Computer Science/Engineering, or 7+ years of relevant industry experience. • Proven experience in backend development, with proficiency in one or more programming languages such as Python, Java, or Go. • Strong understanding of distributed systems, microservices architecture, and cloud computing platforms (e.g., AWS, GCP). • Familiarity with relational and non-relational databases, along with expertise in data modeling and database management. • Excellent problem-solving skills with a pragmatic and results-driven approach. • Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability. • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. • Nice to Have: Experience with containerization and orchestration tools such as Docker and Kubernetes. • Experience with big data processing tools such as Flink and Spark. • Experience with Python, Pydantic, FastAPI, and SQLAlchemy. • Familiarity with CI/CD pipelines and DevOps practices. • Prior experience in a startup or fast-growing environment.
• low deductible health plans • flexible time away • family leave programs
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