Drive innovation and deliver high-quality products by ensuring that AI teams have the necessary GPU and resources.

Drive strategic initiatives to optimize GPU utilization and procurement, including financial analysis and legal considerations

Develop and implement a GPU resource allocation strategy that aligns with revenue and research priorities.

Build and maintain compute resource analytics and reporting.

Collaborate with finance, sales, research, engineering, product management, and other teams to define, plan, and deliver on our AI initiatives.

Negotiate and manage relationships with internal and external stakeholders, including C-level executives, to secure GPU resources and drive strategic AI initiatives.

Stay up-to-date with the latest GPU technology trends and apply this knowledge to drive innovation in our products and services.

Establish and maintain effective communication with stakeholders, including regular project updates, status reports, and presentations.

Identify and implement process improvements to increase efficiency and scalability.

Ensure timely delivery of high-quality products by driving project execution and managing risks.

Improve product margins by leading strategic initiatives to optimize GPU utilization and procurement.

Establish and maintain effective communication with technical and non-technical stakeholders and customers, including regular project updates, status reports, and presentations.

Deliver step-level improvements with compute management, efficiency and scalability by identifying and implementing process improvements.

Ensure strategic alignment across C-level leadership

7+ years of technical program management experience, with a focus on cross team negotiations, resource management, customer impact and strategic planning.

Proven track record of leading cross-functional teams to deliver complex technical projects on time and with high quality.

Excellent communication, negotiation and analytical skills, with the ability to get to resolution with C-level executives and identify key tradeoffs between business objectives using data.

Ability to build and maintain analytics to track, forecast, and visualize consumption through ad-hoc SQL, reports, and dashboards

Self-motivated and able to work independently, as well as in a team environment.

Preferred good working knowledge of GPU technology and its applications in generative AI and machine learning.

Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus.

Experience with compute capacity management, as well as financial analysis or sales/deal desk quoting, is a plus.