- Serve as the primary architect of QuillBot’s intelligence layer, leading the evolution from a suite of AI tools to a unified, agent-driven AI-native creative platform
- Define and build the orchestration systems that unify QuillBot’s products into cohesive, multi-step workflows
- Lead both AI R&D and Applied AI teams, shaping the model stack, agentic infrastructure, and production systems
- Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces
- Make high-conviction technical bets on the model stack, compute strategy, and agent execution model
- Own the technical point of view on which ICP verticals and workflows justify agentic investment
- Inherit and reshape the AI org to match the velocity and scope of what we're building, including hiring where gaps exist
- Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot’s product surfaces
- Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities
- Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production
- Own system reliability and performance of the AI stack serving tens of millions of users worldwide
- Build and lead an integrated AI organization spanning R&D and Applied AI teams
- Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions
- Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards
- Raise the quality bar across the organization, acting as a force multiplier for team performance and execution
- Architect the team's operating model around AI-native workflows, using automated pipelines, code generation, and internal tooling
NLPMLOps