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Software Engineering Manager (Data Solutions), IS&T Ai & Data Platforms

Apple

Salary not specified
Dec 25, 2025
Sunnyvale, CA, US
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Apple is looking to solve the problem of delivering insights through large-scale data solutions and building Generative AI-powered capabilities for the AppleCare Business Development, Finance, and Service Team.

Requirements

  • Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake
  • Programming experience in building high-quality software. Proficiency in at least one of the following programming languages - Python, Scala, or Java.
  • Strong hands-on experience in designing and developing cloud-based applications that include large-scale compute services, database services, APIs, ETL, etc.
  • Experience in developing highly optimized SQLs, procedures & semantic processes for distributed data applications.
  • Usage of basic ML models in the space of anomaly detection, forecasting, and GenAI.
  • Experience building enterprise-level applications on large-scale distributed systems
  • Experience with data insights and KPIs

Responsibilities

  • Define and drive the vision and strategy for the AiDP AppleCare Business Development, Finance, and Service Team.
  • Lead a team that focuses on building and scaling Generative AI-powered capabilities while forging strong cross-functional partnerships.
  • Understanding the business domain by engaging directly with key business and IT stakeholders to understand business strategies, platform integration, GenAi goals, and how that ties to solution needs.
  • Manage a team and work cross-functionally with other teams to coordinate the delivery of complex solutions.
  • Generate and visualize data insights, metrics, and KPIs.
  • Design and develop cloud-based applications that include large-scale compute services, database services, APIs, ETL, etc.
  • Develop highly optimized SQLs, procedures & semantic processes for distributed data applications.

Other

  • 8+ years of experience building enterprise-level applications
  • Bachelor's degree in Computer Science or equivalent experience
  • Excellent communication and the ability to partner closely with product managers, designers, and other engineering teams
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
  • Ability to contribute consistently and positively in a high-paced, fast-charging, and unpredictable work environment