Senior Manager, Training Data

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$240,000–$379,500 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $310k
$114k $408k
below market most similar roles pay here above market

This role pays more than 94% of similar roles. Most pay $154,488–$216,250 — the blue band above. At the midpoint, this role pays about $310k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

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At a glance

TL;DR · Senior Manager, Training Data

The Senior Manager, Training Data will join the team to define the strategy and build platforms delivering high-quality training data for foundation models. This role involves researching new web and code sources, improving data diversity, and transforming raw content into datasets that advance model capabilities. You will own the product vision and roadmap, partnering with engineering, research, and legal teams to manage source discovery, URL indexing, crawl scheduling, and distributed fetching. Key responsibilities include driving improvements in HTML extraction, code preservation, and quality filtering while balancing scale, cost, and delivery time. You will use SQL and Python to analyze performance metrics and manage data pipelines. The work focuses on solving data acquisition and curation challenges to improve what models can learn from large-scale web and multimodal datasets.

What you'll do

  • Own the product vision, strategy, and roadmap for training data acquisition and preparation.
  • Translate research priorities into source requirements, platform investments, and dataset acceptance criteria.
  • Define technical requirements for source discovery, URL indexing, crawl scheduling, and distributed fetching.
  • Drive improvements in parsing and curation, including HTML extraction, code preservation, and quality filtering.
  • Lead build, buy, and partner decisions for internal crawling, commercial datasets, and licensed content.
  • Partner with researchers on controlled experiments to measure data impact on model capabilities.
  • Work with legal and security teams to establish scalable controls for source eligibility and provenance.
  • Build researcher-facing capabilities for dataset discovery, metadata, versioning, and quality reporting.

What we're looking for

  • BS or MS in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • Experience in product management or a related technical role.
  • 5+ years of experience on data platforms, search/indexing, or ML infrastructure.
  • 4+ years of direct people management experience.
  • Proven track record of delivering data systems at scale and taking complex products from concept to production.
  • Strong technical understanding of distributed data pipelines, storage, indexing, and data processing.
  • Ability to use SQL, Python, or equivalent tools to inspect data and performance metrics.
  • Direct experience with foundation-model training data, web crawling, or corpus curation (preferred).

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