Set and communicate team priorities that support the broader organization's goals ensuring alignment of strategy, processes, and decision-making across teams.

Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.

Develop the mid-term technical goal and roadmap within the scope of multiple teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.

Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.

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 leading 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.