Teams at Decagon

Lead and grow teams of product engineers building customer-facing products and reusable systems. Partner with product and design to shape roadmaps, translate user needs into scalable solutions, and drive development from discovery through launch and iteration. Define technical strategy, make tradeoffs across reliability and performance, stay close to customers, mentor engineers, and maintain high engineering standards. Teams may focus on growth, enterprise data lifecycle, collections, or proactive AI agents.

Research Engineer focused on AI safety for conversational agents. Responsibilities include developing safeguards against prompt injection, unsafe tool use, data disclosure, policy violations, and hallucinations; building adversarial evaluations, red-team datasets, classifiers, judges, reward signals, and runtime protections; analyzing production incidents; and partnering across teams to deploy scalable, reliable safeguards.

Research Engineer responsible for improving the safety, reliability, and controllability of conversational AI agents. The role develops safeguards, adversarial evaluations, red-team datasets, classifiers, judges, reward signals, post-training methods, and runtime protections. Responsibilities include analyzing production incidents, identifying failure modes, measuring mitigations, and partnering with security, product, infrastructure, legal, and customer-facing teams to deploy scalable safety practices.