Senior Engineering Manager Solutions Engineering, Apple Data Platform

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 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 Apples customers and ADP engineering teams helping teams architect and productionize solutions spanning large-scale data processing machine learning Generative AI LLMs agents and leader will also serve as a senior technical representative for ADP with executive stakeholders across Apple building trusted relationships understanding their strategic priorities representing ADPs 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.n

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 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 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 critical part of the teams 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. n

Build and lead a high-performing Solutions Engineering team spanning data AI/ML Generative AI governance and cloud infrastructure. nServe as a senior technical representative and trusted advisor for ADP with executive stakeholders across Apple. nOwn the customer technical journey from architecture through production adoption across ACDP ACAI and AGP. nLead architecture for complex data and AI solutions including LLMs Generative AI agents and large-scale analytics and ML workloads. nWork hands-on with customers and engineering teams to solve complex architecture integration scalability reliability and performance challenges. nBuild strong relationships with customer leadership understand their strategic priorities and drive alignment across customer and ADP organizations. nTurn recurring customer needs into reference architectures reusable solutions automation and platform capabilities that accelerate adoption across Apple. nCreate a strong customer feedback loop into ADP translating emerging requirements and adoption blockers into platform priorities. nRecruit 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. nDeep technical expertise in distributed systems cloud-native architectures and modern data and AI platforms. nExperience architecting and productionizing large-scale data ML Generative AI LLM or agentic workloads. nDemonstrated experience working directly with customers to solve complex technical problems and drive production adoption. nExceptional executive presence communication and stakeholder management skills with experience representing technology organizations with senior executive stakeholders. nProven ability to influence and drive alignment across complex cross-functional engineering organizations. nProven ability to recruit mentor and develop senior technical talent. nBS or MS in Computer Science Engineering or a related technical field or equivalent practical experience.

Experience building operating or driving adoption of enterprise-scale data AI Generative AI or governance platforms. nExperience with technologies such as Kubernetes Spark Ray Kafka Trino Iceberg and modern AI/ML infrastructure. nExperience architecting LLM applications agentic systems RAG model serving and AI orchestration. nExperience with public cloud platforms such as AWS and GCP and serverless or multi-tenant platform architectures. nExperience developing reference architectures integrations automation and reusable solutions that accelerate customer adoption. nExperience with AI governance security observability and operating production AI systems at scale.