AIML Engineering Program Manager

Apple • Cupertino, CA

8d

About The Position

Imagine what you could do here! The people here at Apple don’t just create
products — they build 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. At Apple, inclusion is a shared
responsibility, and we work together to develop a culture where everyone belongs
and is inspired to do their best work. Here on the Apple Store Online team, we
are responsible for Apple’s largest store. Our main goal is to deliver a
magical, personal digital experience where customers can shop, buy and learn
everything Apple, wherever they are. Each customer should feel like they are our
only customer and our job is to set the bar for the experience they receive. To
run such an extraordinary store, it takes extraordinary people, and we are
looking for someone to help us do extraordinary things. Apple's Retail Decision
Automation team is looking for an outstanding and experienced AIML Engineering
Program Manager who is passionate about delivering production-grade machine
learning and analytics solutions. You'll partner across technical and business
teams to manage a wide range of machine learning solutions, each aligned to
deliver to different goals, experiences and processes. Our work in decision
automation and performance optimization powers a broad portfolio of Retail
initiatives, all with the common goal of enriching and reimagining our customer
experience.

DESCRIPTION

Technical Program Managers at Apple define, lead, and execute data-driven
solutions that have significant business impact. In this role, you will: - Own a
diverse portfolio of agentic features and machine learning decision points,
ensuring they are aligned with broader program objectives and delivering
measurable value. - Drive strategy, prioritization, and delivery of ML- and
analytics-powered solutions across multiple business areas. - Guide programs
from inception through implementation by collaborating with data scientists,
analysts, engineers, and business partners. - Serve as a program leader who
encourages accountability, high performance, and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 7+ years of technical program or product management experience.
• Strong experience working with machine learning, analytics, or data science-driven programs.
• Proven track record to lead high-impact, cross-functional initiatives with multiple decision points and success metrics.
• Skilled at translating ambiguous business needs into well-scoped, data-driven projects.
• Excellent organizational, prioritization, and communication skills.
• Comfortable operating in fast-paced environments with evolving requirements.

Nice To Haves

• Experience managing multiple ML or analytics decision points within a large-scale or enterprise program.
• Familiarity with modern data and ML tooling (e.g., Airflow, Spark, Snowflake, model monitoring tools).
• Strong problem-solving skills with an ability to balance short-term urgency with long-term strategy.
• Track record of influencing through metrics, vision, and collaborative leadership.
• Clear, confident communicator who can adapt between technical detail and executive-level storytelling.
• Passion for building high-performing teams and encouraging inclusive, purposeful program culture.

Responsibilities

• Own a diverse portfolio of agentic features and machine learning decision points, ensuring they are aligned with broader program objectives and delivering measurable value.
• Drive strategy, prioritization, and delivery of ML- and analytics-powered solutions across multiple business areas.
• Guide programs from inception through implementation by collaborating with data scientists, analysts, engineers, and business partners.
• Serve as a program leader who encourages accountability, high performance, and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees