Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

The Agent Building team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self-serve products, making sophisticated AI capabilities accessible to both technical and non-technical Customer Experience teams.

You'll be a full-stack product engineer building the tools that empower customers to create and optimize their AI agents. This means working closely with the Agent Software Engineering and Agent PM teams to understand current workflows, then designing elegant abstractions and interfaces that scale those capabilities across our customer base. You'll work day-to-day with the core product and design teams, joining discovery, defining requirements, reviewing designs, and iterating through launch.

• Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment
• Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code
• Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams
• Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve
• Own features end-to-end, from technical architecture through deployment and iteration

• 4+ years building full-stack software products with strong product thinking
• Proficient in TypeScript and/or Python, comfortable working across the entire stack
• Experience translating complex technical capabilities into simple, usable interfaces
• Track record of balancing technical excellence with pragmatic shipping

• Experience building developer tools, APIs, platforms, or internal tools that became customer-facing
• Background with LLMs, prompt engineering, or AI agent systems
• Familiarity with asynchronous programming and building scalable systems
• Experience with observability, data visualization, or analytics products

• Medical, dental, and vision benefits
• Take what you need vacation policy
• Daily lunches, dinners, and snacks in the office to keep you at your best

$250K - $330K + Offers Equity

Compensation Range: $250K - $330K