AIML Engineering Program Manager

  • Cupertino, CA
  • Posted 13 hours ago | Updated moments ago

Overview

On Site
USD 172,100.00 - 305,600.00 per year
Full Time

Skills

Innovation
Performance Tuning
Retail
Customer Experience
Accountability
Continuous Improvement
Collaboration
Analytical Skill
Computer Science
Mathematics
Product Management
Data Science
Communication
Management
Analytics
Machine Learning (ML)
Apache Spark
Snow Flake Schema
Conflict Resolution
Problem Solving
Leadership
Payments

Job Details

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.

Responsibilities
  • Identify risks, resolve roadblocks, and keep teams focused and aligned on goals.
  • Translate business needs into clear requirements, project plans, and success metrics.
  • Develop a culture of trust, collaboration, and inclusion across the program team.
  • Communicate technical and analytical results clearly to both technical audiences and senior business partners.
  • Bring structure and awareness of sophisticated programs with many parallel workstreams and moving parts.
  • Establish and track business-critical metrics and ensure data-driven decisions at every stage.

Minimum Qualifications
  • 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.

Preferred Qualifications
  • 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.

Pay & Benefits 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 $172,100 and $305,600, 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 an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.