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Customer Success Insights Engineer

NVIDIA· Program Mgr, Technical
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Santa Clara, CA$168k - $258.8kFull-timePosted 2mo ago

About the role

NVIDIA seeks a Customer Success Insights Engineer to scale platform adoption through data and AI-native analytical solutions, surface customer and developer adoption insights, and build executive dashboards and analytics across NVIDIA software.

Responsibilities

  • Design, build, and operate automated data collection and transformation pipelines across enterprise systems, vendor APIs, and public developer platforms into Databricks, with data quality gates, freshness monitoring, and fail-safe behavior built in from day one.
  • Use AI agents throughout the engineering lifecycle: multi-agent build workflows, automated verification, and adversarial review gates before anything reaches production or an executive audience.
  • Turn ambiguous adoption questions from leadership into measurable definitions, transparent metrics, and self-serve dashboards, including caveats about signals that must not be summed, funneled, or over-claimed.
  • Develop and maintain executive dashboards and recurring analytical products that track platform adoption, developer engagement, and ecosystem health across NVIDIA software.
  • Partner with Product, Marketing, Sales Operations, and external platform vendors to source new telemetry, validate data contracts, and establish baselines before changes ship, so every initiative gets a measured before and after.
  • Operationalize measurement for emerging channels (AI agent marketplaces, developer registries, model hubs) where APIs change weekly and un-captured history is lost forever.
  • Champion data honesty as a product feature: every number defensible, every source detailed, every anomaly investigated before it reaches a customer.

Qualifications

  • BS degree in Computing Science, Engineering, Math or equivalent experience.
  • 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or similar roles in building production data products.
  • Agentic AI & LLM Mastery: Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows, applied to real engineering: agent-assisted development, automated verification and review gates, or agentic pipelines that shipped to production.
  • Databricks Mastery: Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
  • Expert SQL and Python, including API-based data ingestion from enterprise systems and third-party platforms.
  • Experience integrating CRM and enterprise data (Salesforce or similar) with product telemetry into unified analytical models.
  • A track record of building executive-facing dashboards and analytical narratives that leaders trust and act on.
  • Excellent communication, stakeholder management, analytical, and problem-solving skills.

Skills

Required:Data engineeringDatabricks / Apache Spark / PySparkSQLPythonLLM / agentic AI

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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