Senior Technical Program Manager - Nemotron EU Engagement

NVIDIA•Santa Clara, CA
•$200,000 - $322,000

About The Position

NVIDIA’s Nemotron Edge PMO organization is seeking a Technical Program Manager to oversee the collection, curation, and release of large-scale datasets. The role builds the data foundation for NVIDIA models in enterprise and agentic AI, supporting language understanding and synthetic data generation optimized for NVIDIA infrastructure. The position drives sourcing, curation, and maintenance of high-quality data for Robotics and LLM training and evaluation programs. It also manages external data and annotation vendors, including vendor selection and onboarding, contract and performance management, and coordination with Legal, Privacy, and Security to ensure compliance. The role monitors data quality, vendor throughput, turnaround time, and budget use, while developing repeatable processes and documentation for scalable LLM data and vendor operations.

Requirements

  • 12 or more years of experience in data operations, vendor management, or technical program management, preferably supporting AI/ML or LLM initiatives.
  • Bachelor’s degree or equivalent experience.
  • Exceptional prioritization and alignment-building skills.
  • Consistent track record of leading and successfully delivering medium-to-large organizational-wide programs and projects.
  • Experience with AI/ML data vendors, including annotation, evaluation, or labeling platforms.
  • Comfort working with research teams with fast-changing requirements.
  • AI-native mindset, including using tooling to automate vendor reporting, tracking, and communication.
  • Ability to operate amid ambiguity and rapid pivots, where vendor scopes change quickly in generative AI.

Nice To Haves

  • Strong understanding of data governance, data quality, and compliance frameworks.
  • Proven experience managing external data vendors and setting KPIs, SLAs, and performance metrics.
  • Working knowledge of LLM training data pipelines, annotation workflows, and synthetic data generation.
  • Proven track record of measurable cost savings or quality improvements directly tied to vendor relationship structure and management.
  • Experience building vendor scorecards, playbooks, or tracking tools that were adopted.

Responsibilities

  • Drive execution for sourcing, curating, and maintaining high-quality data used to train and evaluate Robotics and LLM programs.
  • Identify, evaluate, and onboard external data and annotation vendors aligned with LLM use cases, quality needs, and compliance constraints.
  • Negotiate vendor contracts, pricing, service-level agreements, and key performance indicators; track performance and drive continuous improvement and cost efficiency.
  • Partner with Legal, Privacy, and Security to ensure data contracts, access, and usage comply with regulatory and internal policies.
  • Create dashboards and reporting to monitor data quality, vendor throughput, turnaround time, and budget utilization.
  • Create and maintain documentation, playbooks, and processes for repeatable, scalable LLM data and vendor operations.

Benefits

  • Equity
  • Benefits
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