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A leading AI technology firm in Germany is seeking a Product Engineering Leader to guide teams in developing AI agent building platforms. The role involves extracting insights from user conversations and building automation for issue detection. Candidates should possess significant engineering management experience and proficiency in Typescript and Python. This role promises significant impact within an innovative environment.
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
As a leader on the Product Engineering team, you’ll guide teams to build products that enable Customer Experience teams to train AI agents. Your team 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
Lead a team to 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 engineering management experience
Have 5+ 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