About Decagon
Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.
We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
About the Team
The Product Engineering team at Decagon innovates on and refines the user experience, technical architecture and core features that power the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
About the Role
On the Product Engineering team, you’ll build products that enable Customer Experience teams to train AI agents. You will develop cutting-edge methods to extract product insights from the treasure trove of unstructured data generated through conversations with end users.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.
In this role, you will
Design an AI agent building platform that supports Customer Experience teams in training AI agents
Develop techniques for extracting insights from unstructured conversational data that drive product decisions
Build automation that monitors and detects issues across hundreds of millions of interactions
Break down ambiguous product ideas into clear, iterative milestones and roadmaps.
Your background looks something like this
Have 3+ years of industry experience in software engineering
Proficiency with Typescript, Python and asynchronous programming
A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary
Even better
Prior experience working with multi-modal models
Benefits:
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
Compensation
$300K – $415K + Offers Equity
