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Senior Full Stack Engineer - Conversation Intelligence

Full Stack Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build and scale a full-stack, no-code platform that lets non-technical teams configure workflows for analyzing customer conversations. The work spans visual interfaces, backend services, and data storage, turning AI-generated performance insights into tools that organizations can configure and use for coaching and operational improvement.

Responsibilities - Develop end-to-end features for a platform that configures conversation processing without requiring users to write code. - Create clear interface components and visual editors for setting up conversation logic and workflows. - Design backend services and APIs that support a flexible, dynamic configuration experience. - Partner with machine learning engineers to make conversation intelligence accessible and configurable for users. - Build data models and storage layers, and improve performance and scalability across the application. - Maintain reliability, security, and maintainability; contribute to technical design, code reviews, and continuous integration.

Requirements - Demonstrated full-stack engineering experience, including substantial frontend and backend work on no-code or low-code products. - Strong knowledge of modern frontend development, including React, TypeScript, and patterns for complex interfaces. - Backend experience with Python, Go, or a similar language, plus REST API and microservice design. - Solid database and data-modeling fundamentals. - Experience building tools for non-technical users, particularly in AI/ML, workflow, or automation settings. - Clear communication and collaborative working style across engineering, product, and design.

Nice to have Hands-on use of Postgres, ClickHouse, or Elasticsearch; familiarity with state management, execution logic, or visual programming concepts.

Benefits and work setup Medical, dental, and vision coverage; flexible paid time off; parental leave; retirement savings; home-office setup support; and monthly wellness and communication stipends. Onsite employees receive meals and commuter benefits. Compensation includes salary, equity, and benefits. The role is open to candidates in the United States and Canada.

Skills detected in the listing

TypeScriptReactPythonGoPostgreSQL
Detected Oct 19, 2026
Last verified Nov 2, 2026

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