posted Jun 27

Senior Technical Program Manager - GPU & AI Hardware

Apache Spark SQL senior

Job Location: Bay Area, California

Salary: $150,000 - $190,000 a year

Job Description

• 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.

Qualifications

• 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.

Benefits

• Medical, Dental, and Vision • 401(k) Plan • FSA, HSA and Commuter Benefit Plans • Equity Awards • Flexible Time Off • Paid Parental Leave • Family Planning • Fitness Reimbursement • Annual Career Development Fund • Home Office/Work Headphones Reimbursement • Employee Assistance Program (EAP) • Business Travel Accident Insurance • Mental Wellness Resources

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