1 day ago
Base Salary
$168k - $311k/yr
Responsibilities
- Drive the end-to-end product vision, prioritization, and roadmap for enterprise data observability.
- Design reusable architecture and configurable frameworks for data quality, integrity, lineage, and observability across business domains.
- Build and operationalize agentic AI frameworks with orchestration layers, tool-use patterns, feedback loops, anomaly detection, triage, and self-healing data pipelines.
- Own delivery from requirements through deployment, including monitoring definitions, alert prioritization, issue tracking, and adoption at scale.
- Define data specifications, business glossaries, governance rules, ownership models, process flows, and lineage maps for supply chain and enterprise data.
- Design the LLM inference stack, including model selection, prompt engineering, context-window management, and output validation.
- Partner with enterprise data architects and business stakeholders to establish data governance and accountability.
- Champion AI-assisted software development practices across the observability product portfolio.
Requirements
- 10+ years of experience in data and product management, including deploying enterprise-grade AI or data solutions in complex environments.
- Experience building knowledge frameworks for AI agents, including data specifications, business glossaries, governance policies, lineage, and process flows.
- Working knowledge of Databricks, Delta Lake, PySpark, Palantir, Informatica, and ETL/ELT tools and pipeline patterns.
- Experience with agentic AI workflows, LLM-based agents, RAG, orchestration frameworks, and production data quality or observability use cases.
- Strong foundation in master data management, data quality, governance, and integration with ERP systems, data lakes, enterprise applications, and document repositories.
- Ability to build senior stakeholder relationships and present complex technical concepts to non-technical audiences.
- Knowledge of supply chain and manufacturing data domains, including Material Master, BOM, Supplier Data, and Reference Data.
- Experience deploying software using tools such as Jira, Jenkins, and Git.
- Preferred full-stack experience with SQL, Python, PySpark, React, Angular, and Node.js.
- Bachelor’s or master’s degree in Computer Science or Data Engineering, or equivalent experience in enterprise data architecture and product management.
Benefits
- Base salary range is 168,000 USD–264,500 USD for Level 4 and 196,000 USD–310,500 USD for Level 5, with eligibility for equity and benefits.
- Applications will be accepted at least until September 27, 2026.
- This posting is for an existing vacancy.
Categories
AI ApplicationsData Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.