Decagon is looking to solve the business problem of enabling companies to understand and learn from customer conversations handled by AI agents, ultimately improving customer experience and agent performance.
Requirements
- Proficiency with Typescript, Python, and asynchronous programming
- Experience creating clear, effective visualizations or UI for complex information
- Experience with analytics products, conversation intelligence, or UX for insights
- Experience working on products that help users understand behavior or improve workflows
- Experience with LLM applications or agent-driven systems
Responsibilities
- Build user-facing features that help teams understand customer intents, sentiment, and voice of the customer signals
- Design intuitive visualizations and workflows that help APMs and CX teams write better AOPs and identify improvement opportunities
- Create tools that highlight gaps in agent behavior, explain performance issues, and surface actionable recommendations
- Build product experiences that make it simple to explore conversations and understand why agents behave the way they do
- Work across the stack to deliver fast, reliable, and polished insights products that customers rely on daily
Other
- 5+ years of engineering experience building customer-facing products
- Strong product sense and ability to solve vague analytical problems
- Ability to collaborate with PM and Design to drive product direction
- In-office company
- customers are everything, relentless momentum, winner’s mindset, and stronger together
