Sales - Engineering Manager, Data Platforms

Apple Inc.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Apple Inc. is seeking an Engineering Manager for Data Platforms in Singapore to lead a high-performing team and drive strategic AI-data initiatives. This role focuses on collaboration with US teams to ensure the scalability and reliability of internal systems, providing an opportunity to lead cutting-edge efforts in a dynamic environment.

Qualifications

• 6+ years of professional software engineering experience.
• 3-5+ years managing full-stack engineering teams.
• Proven track record designing and scaling backend systems.

Responsibilities

• Lead hiring, onboarding, and long-term team development.
• Manage follow-the-sun delivery with US teams.
• Drive initiatives to modernize internal systems.

Skills

Software Engineering

Team Leadership

Cross-Functional Collaboration

Cloud-Native Architecture

System Integration

Job description

Sales - Engineering Manager, Data Platforms

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We work in a startup atmosphere where individuals take ownership and have significant impact on the final product.We are a dynamic team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives—focused on driving innovation through product design, engineering, and portfolio management for our internal Apple customers. In our startup-like environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver.We’re growing our team’s presence in Singapore and are seeking an Engineering Manager to help lead this expansion. In this foundational role, you’ll be responsible for building and scaling a high-performing team while providing strategic AI-data ready architectural direction across a growing ecosystem of backend systems and internal tools. You’ll play a central role in follow-the-sun collaboration, ensuring continuous progress and alignment between our Singapore and US-based engineering teams. This is a high-visibility opportunity to lead cutting-edge technology efforts that power critical decision-making and platform evolution across a complex, globally distributed ecosystem.

Description

Key Responsibilities- Serve as the DSI Singapore site lead—including hiring, onboarding, and long-term team development- Lead technical and organizational aspects of follow-the-sun delivery, collaborating with US teams to maintain alignment and momentum across time zones, while ensuring the reliability, governance, and production-readiness of our AI-ready data and application pipelines- Lead cutting-edge initiatives to modernize internal systems and improve efficiency, developer experience, and scalability- Collaborate cross-functionally with product, data, and engineering teams across DSI and the rest of the company- Uphold best practices in service design, observability, integration, and lifecycle management- Partner with US based managers for dotted-line reporting (as needed)- Mentor team members to build deep technical expertise, architectural thinking, and leadership capacity

Minimum Qualifications

• 6+ years of professional software engineering experience
• 3–5+ years of experience managing or technically leading full-stack engineering teams
• Proven track record designing and scaling enterprise-grade backend systems or internal platforms
• Hands-on fluency with modern backend development and cloud-native architecture (e.g., micro-services, APIs, Kubernetes, CI/CD, observability stacks)
• Experience working with distributed teams, especially in follow-the-sun or hub-and-spoke models
• Deep understanding of system integration, cross-service architecture, and data flow across business domains
• Demonstrated success in partnering across engineering teams and driving platform-wide initiatives
• Excellent communication and leadership skills, with the ability to influence without authority

Preferred Qualifications

• Experience leading large-scale internal platform efforts, such as developer tooling, system modernization, or data infrastructure
• Familiarity with data governance, AI/ML enablement, or building services that support experimentation and inference workflows
• Exposure to regulated or security-sensitive enterprise environments
• Background leading platform modernization initiatives—such as container security, logging infrastructure, or code-assist tools
• Passion for building engineering culture, operational maturity, and innovation at scale