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Salary: USD 200,000 - 400,000 / annual
Decagon is a conversational AI platform enabling enterprises to deploy AI agents for customer support and operations across voice, chat, email, SMS, and other channels. Customers include Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas. The company is backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
The Enterprise Product team builds the platform that customers use to create, maintain, and improve their AI agents. This role is a technical leadership position for a full-stack product engineering team, responsible for shaping the platform that empowers customers to build and optimize AI agents.
Key responsibilities:
- Drive technical direction for the team, establishing architectural principles and design patterns that scale with the customer base and feature set
- Lead complex initiatives from ambiguous requirements through to shipped products
- Create AI-powered tools enabling non-technical teams to create and manage sophisticated workflows without coding
- Build monitoring and analytics that surface actionable insights for agent improvement
- Partner directly with customers and cross-functional teams to identify opportunities and validate product direction
- Mentor engineers, elevate team practices through code review, technical design, and knowledge sharing
- Work closely with Agent Software Engineering and Agent PM teams to understand workflows and define technical strategy
- Collaborate day-to-day with product and design teams on discovery, requirements definition, design review, and iteration through launch
This is a technical leader role that combines hands-on engineering with team mentorship and strategic direction-setting for a core platform serving all customers.
Requirements:
- 6+ years building full-stack software products with demonstrated impact on technical direction and strong product thinking
- Deep expertise in TypeScript and/or Python, with strong architecture and system design skills
- Proven ability to design abstractions and platforms serving diverse use cases elegantly
- Track record of leading technical initiatives and driving consensus across teams
- Experience balancing technical excellence with rapid iteration and customer needs
- Strong product intuition and history of translating user feedback into technical solutions
- History of mentoring engineers and establishing technical standards
Preferred qualifications:
- Experience building security-sensitive product systems (authentication, data access controls)
- Experience building and scaling developer tools, APIs, platforms, or infrastructure products
- Familiarity with LLMs, AI agent systems, prompt engineering, or building products on top of AI capabilities
- Familiarity with asynchronous programming and building scalable systems
- Experience with observability, data visualization, or analytics products
- History of establishing technical standards, design patterns, or architectural principles adopted across teams
About Decagon
AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.
