Apple

Apple

Posted via Apple Careers

Senior Engineering Manager - Solutions Engineering, Apple Data Platform

Always Hiring

Posted Aug 14, 2026

Role at a glance

Salary
$237.6K – $401.7K/yr
Location
Cupertino, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
10+ years of experience with large-scale distributed systems, cloud infrastructure, data platforms, or AI/ML technologies, including 5+...
Education
BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

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Role Summary

AI-generated

The Senior Engineering Manager will lead the Solutions Engineering organization within Apple’s Data Platform, serving as a technical bridge between Apple customers and teams across the Apple Cloud Data Platform, Apple Cloud AI, and Apple Governance Platform. The role drives technical adoption by guiding customers from architecture through production and by turning recurring solutions into reusable platform capabilities.

What You'll Do

  • Build and lead a 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 architecture, integration, scalability, reliability, and performance challenges.
  • Turn recurring customer needs into reference architectures, reusable solutions, automation, and platform capabilities.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Deep technical expertise in distributed systems, cloud-native architectures, and modern data and AI platforms; experience architecting and productionizing large-scale data, ML, Generative AI, LLM, or agentic workloads; experience working directly with customers to solve complex technical problems and drive production adoption; executive presence, communication, and stakeholder management skills; ability to influence across cross-functional engineering organizations; ability to recruit, mentor, and develop senior technical talent.

Required

  • 10+ years of experience with large-scale distributed systems, cloud infrastructure, data platforms, or AI/ML technologies
  • 5+ years of engineering management experience
  • Deep technical expertise in distributed systems, cloud-native architectures, and modern data and AI platforms
  • Experience architecting and productionizing large-scale data, ML, Generative AI, LLM, or agentic workloads
  • Experience working directly with customers to solve complex technical problems and drive production adoption
  • Exceptional executive presence, communication, and stakeholder management skills
  • Experience representing technology organizations with senior executive stakeholders
  • Proven ability to influence and drive alignment across complex, cross-functional engineering organizations

Preferred

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

Original job description

Content provided by the employer

Summary

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 productionize 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.

Description

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.

Responsibilities

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.

Minimum Qualifications

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 distributed systems, cloud-native architectures, and modern data and AI platforms.
Experience architecting and productionizing large-scale data, ML, Generative AI, LLM, or agentic workloads.
Demonstrated experience working directly with customers to solve complex technical problems and drive production adoption.
Exceptional executive presence, communication, and stakeholder management skills, with experience representing technology organizations with senior executive stakeholders.
Proven ability to influence and drive alignment across complex, cross-functional engineering organizations.
Proven ability to recruit, mentor, and develop senior technical talent.
BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Qualifications

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

Pay & Benefits — Cupertino, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $237,600 and $401,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.