Engineering Manager, Agent

Key Highlights

• Building a best-in-class product experience for agentic video editing interactions (eg. tuning prompt templates and other key user workflows, addressing user feedback, building key product capabilities like chat history, etc)
• Setting the standard as a player-coach who builds with the team and defines how AI-native development drives rapid prototyping, fast execution, and high software quality
• Driving rapid, data-driven experimentation to push the limits on quality for the video editing agent (eg. model/routing experimentation, pricing experimentation, core agent investments around harness and tool design and token optimizations, etc)
• Deepening the Agent Quality flywheel to better prioritize our roadmap by leveraging user data and signals to strengthen Evals and product analysis methodologies
• Partnering with AI Research on roadmap for exploratory Agent improvements (eg. novel context management strategies, RL/new model development, multimodel explorations, etc)