Databricks - Mountain View, CA

posted 5 months ago

Full-time - Senior
Mountain View, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

As a Senior Technical Program Manager (TPM) at Mosaic AI, now part of Databricks, you will play a pivotal role in ensuring that our AI teams have the necessary GPU and compute resources to drive innovation and deliver high-quality products. This position is critical in optimizing GPU utilization and procurement, aligning resource allocation with product, sales, and research priorities. You will be responsible for establishing effective communication channels with both technical and non-technical stakeholders, providing regular project updates, status reports, and presentations to ensure transparency and alignment across the organization. Your role will involve driving strategic initiatives that enhance product margins through improved GPU utilization and procurement strategies. You will develop and implement a comprehensive GPU resource allocation strategy that aligns with our revenue and research priorities, ensuring that our teams can operate efficiently and effectively. Additionally, you will build and maintain analytics and reporting systems to track resource consumption, enabling data-driven decision-making. Collaboration is key in this role, as you will work closely with finance, sales, research, engineering, and product management teams to define, plan, and deliver on our AI initiatives. You will also negotiate and manage relationships with internal and external stakeholders, including C-level executives, to secure the necessary GPU resources and drive strategic AI initiatives forward. Staying abreast of the latest GPU technology trends will be essential, as you will apply this knowledge to foster innovation in our products and services. Your ability to identify and implement process improvements will be crucial in enhancing efficiency and scalability, ensuring timely delivery of high-quality products while managing risks effectively.

Responsibilities

  • 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.

Requirements

  • 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.

Nice-to-haves

  • 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
  • Pay Range Transparency
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