NVIDIA is looking for a Product Manager to support our data strategy for generative AI, focusing on the execution and optimization of synthetic and curated data for large language and visual models. In this role, the responsibilites include day-to-day management of data pipelines that are critical to advancing frontier AI models. Work closely with research and engineering, and help build and deploy the workflows that make GenAI systems safe, effective, and scalable. This is an opportunity to contribute to high-visibility projects and public data releases that define the industry standard!
What You’ll Do:
- Execute the Data Roadmap: Manage the feature backlog and delivery for synthetic and curated data streams used to train and fine-tune large-scale AI systems.
- Manage Data Workflows: Coordinate the end-to-end lifecycle of data pipelines, including synthetic data generation, human-in-the-loop (HITL) annotation, and reinforcement learning (RL) loops.
- Maintain Quality Frameworks: Implement data quality checks, including coverage analysis, bias detection, and ethical filtering to ensure high-standard model inputs.
- Support Engineering & Research: Act as the bridge between AI researchers and engineers to identify data gaps and deliver the vital datasets or tools to keep development moving.
- Tooling Requirements: Define clear product requirements for internal tools used for data collection, labeling, and augmentation at scale.
- Customer & Partner Coordination: Assist in crafting workflows for enterprise customers or academic partners to enable domain-specific LLM fine-tuning.
- Promote Responsible AI: Ensure data collection and usage align with established legal, privacy, and AI ethics guidelines.
What We’re Looking For:
- Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field or equivalent experience
- Experience: 5 + years demonstrated ability in product management, data platforms, or ML-focused roles within a technology company.
- Technical Literacy: Solid understanding of LLM basics (fine-tuning, RAG, and model evaluation) and the machine learning development lifecycle.
- Project Management: Proven track record to manage sophisticated technical projects, hit milestones, and communicate progress to stakeholders.
- Data-Centric Mindset: Familiarity with how data quality impacts model performance, from initial collection to final evaluation.
- Collaboration: Strong communication skills with the ability to translate technical requirements into actionable product tasks.
Ways to Stand Out:
- Hands-on experience with Python, SQL, or Spark for data analysis.
- Direct experience with labeling tools (e.g., Labelbox, Scale AI) or synthetic data generation.
- Familiarity with timely engineering or LLM benchmarking.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and a self-starter, we want to hear from you! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD.
You will also be eligible for equity and benefits.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
