Mgr, Software Engineer

Job description

Job Summary

Lead a multi-team AI and Analytics organization responsible for building scalable AI platforms, conversational analytics, self-service analytics, and enterprise BI solutions. Drive strategy, architecture, delivery, and organizational growth while managing managers and globally distributed teams

Job Requirements

Responsibilities Lead the development of Generative AI and Agentic AI platforms, including reusable AI agents, orchestration, and governance. Own conversational analytics, self-service analytics, and enterprise reporting platforms. Ensure AI quality, reliability, security, compliance, and operational excellence. Build and scale teams of software engineers, data engineers, data scientists, BI developers, and analysts. Define technology strategy, organizational design, hiring, performance management, and succession planning.

Partner with business and technology leaders to deliver measurable business outcomes.

Required Qualifications

14+ years of experience in Software Engineering, Data Platforms, Data Science, or related fields. 7+ years of people management experience. 2+ years managing managers or multiple teams. Proven experience delivering enterprise-scale AI, analytics, or data-driven products. Strong expertise in AI/ML, LLMs, RAG, AI agents, software architecture, cloud platforms, APIs, data pipelines, and BI solutions. Hands-on experience with database technologies, ETL/ELT pipelines, and large-scale data platforms.

Excellent leadership, stakeholder management, and strategic planning skills.

Preferred Qualifications

Experience with Conversational AI and Agentic Analytics. Knowledge of Azure OpenAI, LLMs, RAG, Vector Databases, and MLOps. Proficiency in Python, C#, .NET, and SQL Server. Experience with Azure Data Factory, Databricks, Spark, and Power BI. Expertise in cloud-native architectures, microservices, DevOps, CI/CD, and observability.

Education

Typically requires a minimum of 14+ years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it.

The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website.

This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.