AI-First Analytics Engineering Manager

NetApp

Morrisville (NC)

Hybrid

USD 170,000 - 220,000

Full time

45 hours ago
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Benefits offered by this job

Hybrid work environment
Health Insurance
Retirement plans (401k)
Stock options / RSUs

Job summary

NetApp is seeking a hands-on, innovative Software Engineering Manager to lead globally distributed software engineering and data science teams responsible for AI-driven analytics, recommendation systems, intelligent insights, and customer success platforms. This leader will manage teams across multiple locations, building scalable platforms that turn data into actionable intelligence.

The ideal candidate combines strong engineering management with practical expertise in AI, machine learning, and

Qualifications

  • 8+ years in software engineering or data platforms with leadership experience.
  • Experience leading globally distributed teams and reliable delivery.
  • Strong knowledge of software architecture, APIs, data pipelines, cloud ops.
  • Experience with AI/ML lifecycle, deployment and monitoring.

Responsibilities

  • Lead globally distributed software engineering and data science teams.
  • Guide architecture and critical decisions with AI-first mindset.
  • Partner with product and architecture to shape strategy and roadmaps.
  • Ensure delivery health across strategic products and platforms.

Skills

AI leadership
Engineering leadership
Distributed teams
Architecture guidance
Stakeholder mgmt
Machine learning/AI
Strategic thinking
People development

Education

Bachelor's or Master’s in CS/Engineering/Data Science

Tools

Python
C#
.NET
SQL Server
Azure Data Factory
Azure Databricks
Spark
Power BI

Job description

NetApp is seeking a hands-on, innovative Software Engineering Manager to lead globally distributed software engineering and data science teams responsible for AI-driven analytics, recommendation systems, intelligent insights, and customer success platforms. This leader will manage teams across multiple locations, building scalable platforms that turn data into actionable intelligence.

The ideal candidate combines strong engineering management with practical expertise in AI, machine learning, and

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