What are the responsibilities and job description for the Technical Program Manager III position at Macpower Digital Assets Edge formerly MDA Edge?
Summary
Job Summary:
Requirements:
Preferred Qualifications:
Responsibilities:
Job Summary:
- The R&D Operations Organization is seeking a Senior Technical Program Manager (TPM) with a background in distributed AI, resource management, forecasting, capacity and strategic planning to join our team.
- This role involves supporting platform operations, handling customer escalations, and monitoring cluster health.
- Additionally, you'll ensure optimal compute resource allocation aligned with product, sales, and research priorities and drive decisions with data, analysis, and reporting in GenAI.
- This job is fast-paced, cross-functional, and requires strong communication, prioritization, and organization skills.
- It involves a deep understanding of stakeholder management, and the ability to navigate an environment with passionate people intent on delivering valuable products.
Requirements:
- 5 years of professional experience with a Computer Science Bachelor's degree (or related degree) and related experience in technical program management, distributed platforms, resource management, execution and strategic planning.
- Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality.
- Excellent communication, negotiation and analytical skills, with the ability to document standard operating procedures and processes
- Advanced working SQL Knowledge, Ability to build and maintain analytics to track, forecast, and visualize consumption through ad-hoc SQL, reports, and dashboards
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- 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.
Preferred Qualifications:
- Master's or advanced technical degree
- Experience with Machine Learning / AI Products and Platforms.
- Experience with large scale software and cloud native infrastructure
- Previous hardware or software development experience is a plus.
Responsibilities:
- Act as a single point of contact for escalations from sales and global support teams and help with various billing and support issues
- Drive innovation and deliver high-quality products by ensuring that AI teams have the necessary GPU and resources.
- 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 Sales, Global Support, and Engineering.
Salary : $73 - $97
