Senior Engineering Manager - Solutions Engineering, Apple Data Platform

Senior Engineering Manager - Solutions Engineering, Apple Data Platform

Cupertino, California, United States Software and Services

Help us accelerate the adoption of the Apple Data Platform (ADP) across Apple! ADP brings together the Apple Cloud Data Platform (ACDP), Apple Cloud AI (ACAI), and Apple Governance Platform (AGP) to provide foundational capabilities for data, analytics, AI, and governance at Apple scale. We are looking for a highly technical and customer-focused Senior Engineering Manager to lead our Solutions Engineering organization.

This team serves as the technical bridge between Apple’s customers and ADP engineering teams, helping teams architect and product ionize solutions spanning large-scale data processing, machine learning, Generative AI, LLMs, agents, and governance. This leader will also serve as a senior technical representative for ADP with executive stakeholders across Apple, building trusted relationships, understanding their strategic priorities, representing ADP’s capabilities and roadmap, and driving alignment across complex cross-organizational initiatives.

The ideal candidate combines deep technical expertise with exceptional executive presence, communication, and stakeholder management skills, and can move seamlessly between deep technical discussions and strategic executive conversations.

As the Senior Engineering Manager for Solutions Engineering within the Apple Data Platform organization, you will build and lead the team responsible for driving successful technical adoption of ADP across Apple. Your team will engage with customers throughout their journey from understanding business and technical requirements and defining end-to-end architectures through onboarding, integration, migration, optimization, and production readiness. Solutions Engineering will work across ACDP, ACAI, and AGP, helping customers bring together data, compute, AI, and governance capabilities to build everything from large-scale analytics and machine learning pipelines to Generative AI applications, LLM-powered experiences, and agentic systems.

This is a highly technical and hands-on leadership role. You and your team will work directly with customers on complex architectures and production challenges while partnering closely with ADP engineering teams to identify platform gaps and influence the evolution of the platform. A critical part of the team’s mission is creating leverage across ADP. Rather than repeatedly solving the same problem for individual customers, the team will identify common patterns and turn successful solutions into reference architectures, integrations, automation, tooling, best practices, and reusable platform capabilities.

• Build and lead a high-performing Solutions Engineering team spanning data, AI/ML, Generative AI, governance, and cloud infrastructure.
• Serve as a senior technical representative and trusted advisor for ADP with executive stakeholders across Apple.
• Own the customer technical journey from architecture through production adoption across ACDP, ACAI, and AGP.
• Lead architecture for complex data and AI solutions, including LLMs, Generative AI, agents, and large-scale analytics and ML workloads.
• Work hands-on with customers and engineering teams to solve complex architecture, integration, scalability, reliability, and performance challenges.
• Build strong relationships with customer leadership, understand their strategic priorities, and drive alignment across customer and ADP organizations.
• Turn recurring customer needs into reference architectures, reusable solutions, automation, and platform capabilities that accelerate adoption across Apple.
• Create a strong customer feedback loop into ADP, translating emerging requirements and adoption blockers into platform priorities.
• Recruit, mentor, and develop senior technical talent while fostering a culture of technical excellence, ownership, and customer focus.

• 10+ years of experience with large-scale distributed systems, cloud infrastructure, data platforms, or AI/ML technologies, including 5+ years of engineering management experience.
• Deep technical expertise in…