Siena AI builds conversational AI agents for commerce customer support, operating at scale with Claude and a modern cloud stack (Node.js, React, Next.js, PostgreSQL, AWS). The hiring composition—engineering-heavy with substantial support and product teams, but decelerating velocity—combined with pain points around scaling deployments, conversion rates, and hiring efficiency, suggests the company is in post-launch operations mode, optimizing deployment quality and support operations rather than pure product expansion.
Notable leadership hires: Head of Engineering, Engineering Head
Siena AI develops AI-powered customer service agents designed for e-commerce brands. The platform automates customer interactions, processes transactions, and extracts insights from conversations at scale. Founded in 2023 and based in New York, the company operates as a lean, distributed team across 13 countries, with engineering and support as the dominant functions. Their tech backbone is modern and cloud-native: Node.js and React on the frontend, Next.js and Express on backend, PostgreSQL and Redis for state, and AWS infrastructure (Lambda, Fargate, SQS) for orchestration. They rely on Claude for LLM capabilities and are actively adopting Cursor and Terraform for internal developer velocity.
Siena uses Claude as its primary LLM, alongside ChatGPT and Gemini. The stack also includes Codex for code generation and Perplexity for information retrieval in agent workflows.
Siena uses AWS as its core cloud provider, with serverless compute (Lambda, Fargate), queuing (SQS), CI/CD (CodePipeline, GitHub Actions), and infrastructure-as-code (CDK, Terraform). PostgreSQL and Redis handle state.
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