Full-Stack Engineer

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for thousands of global customers.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale.

The Role

As a Full-Stack Engineer, you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the stack — from backend services and APIs to frontend interfaces — helping to deliver delightful, high-performance experiences for both developers and end users.

This is a hands-on role where you’ll contribute to features that directly impact how customers embed intelligence into their products, with a strong focus on scalability, developer experience, and innovation.

Key Responsibilities

• Develop and maintain full-stack features using Node.js (backend) and React (frontend).
• Build and optimize APIs and services that power our embedded analytics capabilities.
• Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality, user-centric solutions.
• Participate in code reviews, architectural discussions, and technical decision-making.
• Contribute to improving platform performance, reliability, and developer experience.
• Help shape and implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics).
• Write clean, maintainable, and well-tested code while following best practices.
  
  

• 2-3 years of full-stack development experience with a strong focus on Node.js and React.
• Understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture.
• Strong problem-solving skills and ability to break down complex requirements into actionable tasks.
• Comfortable working in a fast-paced, collaborative environment with high ownership.
• Fluent English (Hebrew is a plus).
• Passion for best coding practices, user experience, and using AI tools to enhance development responsibly.
  
  

• Experience building scalable backend services and responsive, performant user interfaces.
• Experience with TypeScript, Next.js, or modern frontend frameworks.
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Background in data-intensive applications, BI/analytics tools, or developer platforms.
• Familiarity with AI/ML concepts or building AI-powered user experiences.