This role pays more than
60%
of similar roles. Most pay
$145,862–$240,000
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$193k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
The Customer Success Insights Engineer joins the Customer Success Business Insights team to scale platform adoption through data and AI-native analytical solutions. You will design, build, and operate automated data collection and transformation pipelines across enterprise systems, vendor APIs, and public developer platforms into Databricks. The role involves using multi-agent workflows and LLMs for automated verification and review gates while turning ambiguous leadership questions into measurable metrics and executive dashboards. You will track platform adoption, developer engagement, and ecosystem health across software products. Key technical requirements include expertise in Apache Spark, PySpark, Delta Lake, Databricks Workflows, Unity Catalog, SQL, and Python. You must be able to integrate CRM data with product telemetry. The work focuses on measuring emerging channels like AI agent marketplaces and model hubs while ensuring data honesty and integrity across various developer ecosystems.
Databricks
PySpark
SQL
Delta Lake
SAP S/4HANA
SAP ECC
Unity Catalog
Immuta
Apache Spark
CI/CD
Git
SAP Datasphere
SAP BW
CDS Views
ODP/ODQ
SLT
BODS
OData
Tableau
Power BI
Alteryx
Dataiku