Key technologies and capabilities for this role
Common questions about this position
The salary range is $135K - $280K.
The position is hybrid.
The role requires building evaluation infrastructure like golden datasets and benchmarking tools, automating knowledge generation, optimizing AI agent accuracy with retrieval and prompt techniques, developing intelligence infrastructure for model upgrades and A/B testing, and driving volume automation across channels.
The Agent Intelligence team focuses on maximizing AI agent performance and driving volume automation across channels, and is one of the fastest growing areas. The company is backed by $70M from top investors, driven by experts passionate about problem-solving, and works with enterprise clients like Canva, Etsy, and Ramp on significant unsolved engineering challenges.
Strong candidates have experience building evaluation systems, knowledge automation, AI optimization tools, and scalable infrastructure for enterprise AI deployment, with a passion for solving complex problems in AI agent performance.
Optimizes workforce management for customer support
Assembled optimizes workforce management for customer support teams by providing a platform that enhances the efficiency of service operations. The platform includes features like advanced scheduling, real-time monitoring, and data analytics, which help businesses manage their customer service more effectively. It serves a range of clients, from small businesses to large corporations, by using artificial intelligence and automation to improve team performance. Key features include adherence reports that track agent schedules and real-time performance data to maintain high service uptime. Assembled operates on a subscription-based model, allowing clients to access its tools for a recurring fee, which supports ongoing updates and improvements. The main goal of Assembled is to reduce operational costs, boost agent productivity, and enhance customer satisfaction by ensuring that support teams are optimally staffed and managed.