Decagon is looking to build a new product area from the ground up to help companies understand the conversations their AI agents have with customers, uncover customer intents, highlight gaps in agent behavior, analyze voice of customer patterns, and guide teams toward writing better AOPs and improving overall agent quality.
Requirements
- Proficiency in Typescript or Python and comfort working across the stack
- Experience building analytics products, conversation intelligence tools, or insight generation features
- Experience working with agent-driven or LLM-powered systems
Responsibilities
- Lead the architecture and technical direction for a new insights platform used by CX and product teams
- Build the foundational product experiences that help users understand customer intents, agent behavior, and voice of customer patterns
- Define workflows and visualizations that guide customers toward writing better AOPs and improving agent quality
- Drive fast iteration by testing ideas quickly, gathering feedback, and refining product direction based on real usage
- Mentor engineers, establish engineering norms, and help grow a high-performing new team
- Partner with PM, Design, and Agent Engineering to shape the long-term roadmap for insights at Decagon
Other
- 8+ years of engineering experience with meaningful technical leadership
- A strong track record of building 0 to 1 products or teams
- Ability to turn ambiguous product ideas into clear technical plans and shipped features
- Strong product intuition and experience building user-facing features with clear, actionable insights
- Experience collaborating with design and PM to iterate quickly and validate ideas
