Jobs at Intryc
Intryc uses AI to automate quality assurance for customer support
About Intryc
Intryc uses AI to automate quality assurance for customer support
[ Open roles ]
- Machine Learning EngineerSan Francisco, California, Us
Machine Learning Engineer at Intryc in San Francisco, California. This role focuses on building the performance layer for a blended workforce, evaluating and improving human and AI agents. The company uses its platform to automate scoring, surface insights, and deliver targeted training for customer service and experience.
- Head of MarketingSan Francisco, California, Us
Head of Marketing at Intryc, a San Francisco-based company. This hands-on operator will own all marketing functions, including brand, messaging, events, social media, SEO, and content coordination, with a focus on driving growth and pipeline. The role requires direct collaboration with founders and is measured on pipeline, branded search volume, and unprompted mentions.
- Senior Fullstack Software EngineerSan Francisco, California, Us
Senior Fullstack Software Engineer at Intryc in San Francisco, California. The role involves building the performance layer for the blended workforce, focusing on evaluating, coaching, and improving human and AI agents.
- Senior Product DesignerSan Francisco, California, Us
Senior Product Designer at Intryc in San Francisco, California. This role involves shaping the future of the company's product, focusing on designing the performance layer for a blended workforce of human and AI agents.
- Customer Success ManagerRemote
Customer Success Manager at Intryc, a company building the performance layer for the blended workforce. This role focuses on ensuring customer satisfaction and successful adoption of Intryc's platform for evaluating and training human and AI CX agents.
- Fullstack Software EngineerSan Francisco, California, Us
Fullstack Software Engineer at Intryc in San Francisco, California. This role involves building the performance layer for the blended workforce, focusing on evaluating, coaching, and improving human and AI agents. The engineer will contribute to a platform that automates scoring, surfaces insights, and enables targeted training for customer service and experience.