Data Product Manager, Generative AI
About the role
NVIDIA seeks a Senior Product Manager to lead the development of data strategies for generative AI, focusing on synthetic and curated data for large language and visual models. This role involves crafting data pipelines, establishing data quality frameworks, and collaborating with researchers and engineers to advance AI models.
Responsibilities
Lead the generative data roadmap—define and evolve our strategy for synthetic, curated, and real-world data used to train, fine-tune, and evaluate large-scale AI systems.
Craft and lead data pipelines that power model customization, alignment, and evaluation, including synthetic data generation, human-in-the-loop (HITL) workflows, and reinforcement learning (RL) loops.
Establish thorough data quality frameworks, including coverage analysis, bias detection, adversarial testing, and ethical filtering.
Partner with AI researchers and engineers to identify data bottlenecks in model development, then deliver data, tools, or workflows to unblock them.
Define product requirements for internal tools supporting data collection, annotation, and augmentation at scale.
Collaborate with enterprise customers to design workflows for domain-specific Large Language Model (LLM) fine-tuning using synthetic or proprietary datasets.
Drive initiatives on responsible data use, including fairness, visibility, and privacy, in close alignment with legal, compliance, and AI ethics teams.
Lead cross-functional efforts with infrastructure, model training, and deployment teams to ensure that data is usable, scalable, and aligned with research goals.
Forge strategic partnerships with academic labs, data vendors, and open-source communities to expand access to high-quality and diverse datasets.
Requirements
Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or a related technical field (or equivalent experience).
8+ years of experience.
Demonstrated ability in product management, data platform leadership, or ML/AI-focused roles at a technology company.
Strong understanding of LLM architecture, training regimes, and alignment methods (e.g., fine-tuning, RL, retrieval-augmented generation).
Consistent track record in running large-scale data projects or pipelines for machine learning applications.
Deep familiarity with data-centric AI development, from collection to evaluation.
Outstanding communication skills—ability to translate between research, engineering, and business collaborators.
Prior proven ability to prioritize optimally and ship sophisticated cross-functional projects.
Qualifications
Experience with GenAI data workflows: prompt engineering, synthetic data generation, human feedback systems.
Experience developing data quality, labeling, or annotation tools.
Knowledge of data governance, privacy, or AI ethics standard processes.
Exposure to enterprise ML use cases and multi-modal model development.
Skills
Excellent communication skills.
Ability to translate between research, engineering, and business collaborators.
Strong problem-solving and project management skills.
Experience with data-centric AI development.
Understanding of LLM architecture and training regimes.
Experience with data quality, labeling, and annotation tools.
Knowledge of data governance, privacy, and AI ethics.
Experience with enterprise ML use cases and multi-modal model development.
Benefits
NVIDIA offers a comprehensive benefits package, including highly competitive salaries, equity, and more. Applications are accepted until July 10, 2026.