Design and architect highly available systems for agentic planning and memory management.

Ensure the reliability and performance of complex agentic workflows and memory retrieval systems.

Define the long-term technical roadmap for the agentic memory layer and planning infrastructure.

Lead large-scale system designs that enable autonomous tool-calling and context awareness.

Collaborate across teams to integrate function-calling capabilities into core workspace products. Manage organizational growth, staffing, and technical strategy for the Agentic planning team.

Bachelor's degree or equivalent practical experience.

8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

5 years of experience in leading machine learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

3 years of experience in a technical leadership role.

2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI related concepts (language modeling, computer vision).

2 years of experience in a people management or team leadership role.