Sr Software Engineering Manager, AIML Data Operations

The AIML Data Operations organization delivers high-quality, human-annotated machine learning data at scale to product teams across Apple. We are both a global operations engineering team and a trusted partner in the development of Apple's consumer software experiences and hardware products. Our work directly contributes to experiences like Apple Intelligence, Siri, Vision Pro, and more.

As a senior engineering manager on the AIML Data Operations team, you will lead a team of software engineers building the custom internal software solutions that accelerate the collection and delivery of machine learning data. Your team's work spans Swift and web-based data collection applications, cloud-based web services, and large-scale distributed data-processing pipelines.

You will set technical direction, establish engineering culture and best practices, and partner with ML researchers, data scientists, and product teams across Apple to understand requirements and deliver scalable software solutions. You will hire, mentor, and grow engineers at all levels, and communicate technical strategy and program status to executive stakeholders.

Our team is user-focused, highly-collaborative, and growth-minded. We embrace emerging technologies, diverse perspectives, and taking shared risks. If you are a creative and curious engineering leader with strong technical foundations, a passion for developing people, and a relentless customer focus, come join us.

Do you have experience in Team development?, Do you have a Bachelor's degree?, We're looking for a hands-on senior engineering manager with deep full-stack software engineering experience and a proven track record of leading and growing high-performing teams. If you are energized by the intersection of technical leadership, people development, and realizing the potential of artificial intelligence for billions of people, this is your team., Experience with Swift and a passion for developing high-quality applications across Apple's platforms (iOS, macOS, visionOS, watchOS, etc.).

Experience building highly performant UIs using modern JavaScript frameworks (e.g., React, Angular, Vue) with a focus on polished user experiences and accessibility.

Experience with large-scale distributed systems (e.g., Spark, Hadoop, Kafka, Kubernetes).

Experience administering and optimizing commercial cloud services (e.g., AWS, Google Cloud, Microsoft Azure) for scalable and resilient application deployments.

Experience with database design, optimization, and SQL, including relational, NoSQL, and data warehousing technologies.

Proficiency in additional programming languages (e.g., Python, JavaScript, Go, Rust).

Minimum Qualifications

Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.

5+ years of experience managing software engineering teams, including direct management of 10+ engineers responsible for production software applications and services.

8+ years of progressive experience as a software engineer designing, building, and operating production-grade software systems, including meaningful contributions in one or more of the following:

iOS or Android applications backed by cloud-based services

Robust web applications and supporting APIs

Scalable, cloud-based data-processing pipelines

Experience building team cultures that emphasize engineering excellence, customer focus, collaboration, and continuous growth.

Track record of leading and delivering complex, cross-functional software development programs that require navigating ambiguity and aligning diverse technical and business stakeholders.

Strong collaboration, interpersonal, and communication skills, with demonstrated ability to influence technical outcomes and present to executive stakeholders.

Demonstrated success in hiring, developing, and retaining strong engineering talent at multiple levels.

Demonstrated expertise in a modern, compiled, object-oriented language such as Swift, Objective-C, Go, C++, or Java.

4.14.1 out of 5 stars Cupertino, CA $198,300 - $342,800 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, 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 $198,300 and $342,800, 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.

Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something - you'll add something. Artificial intelligence is one of the most profound technologies of our lifetime. It's rapidly changing Apple products, making them more personal, intuitive, and capable than ever before. Apple's AIML Data Operations organization is looking for an experienced engineering manager to lead the team that builds the software powering machine learning data collection and delivery at Apple scale.