67 Apple Retail Store Manager Jobs Hiring Near You

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 foster 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.
At Apple, every digital interaction is an opportunity to create something meaningful - and this role sits at the heart of that mission. As the manager of our Conversion Optimization team within Retail Online Analytics, you will lead a talented group of data scientists who explore and shape how millions of customers discover, explore, and purchase Apple products online. You'll drive the strategy behind site engagement analysis, on-site merchandising performance, and customer journey optimization, while stewarding a rigorous A/B testing function that turns behavioral insight into measurable business impact. If you're energized by the intersection of data, human behavior, and world-class digital commerce - this is the role where your work will be seen, felt, and trusted at scale.
Description
This role leads a team of analysts responsible for understanding and improving how customers engage with Apple's e-commerce site - from first click to completed purchase. You will oversee two core functions: conversion and site engagement analytics, and a dedicated A/B testing practice that enables data-driven decision-making across the online retail business. This is a highly collaborative role, partnering closely with merchandising, product, and marketing teams to surface insights that directly influence the online shopping experience.
- Lead site engagement and conversion analytics - Own the team's analysis of customer behavior across the online shopping journey, including on-site merchandising performance, buy flow efficiency, and friction and fallout identification; translate findings into actionable recommendations for cross-functional partners.
- Manage and grow the A/B testing function - Oversee the end-to-end experimentation practice, including test design, execution, statistical rigor, and results communication; establish standards and frameworks that scale the team's testing capability.
- Deliver recurring and ad hoc reporting - Drive the development and maintenance of performance dashboards, journey analyses, and executive-ready reports that track conversion health and inform site optimization priorities.
- Develop and mentor a high-performing analytics team - Provide strategic direction, coaching, and professional development for a team of data scientists and experimentation specialists, fostering a culture of curiosity, rigor, and impact.","responsibilities":"Analyze customer behavior across the full online shopping journey - including product discovery, page engagement, buy flow progression, and checkout fallout - to identify friction points and opportunities that improve conversion rates
Evaluate on-site merchandising performance by measuring how customers interact with placements, modules, and promotional content, and connecting engagement signals to downstream purchase outcomes
Lead the A/B testing practice from hypothesis through readout - partnering with product, merchandising, and marketing teams to design well-structured experiments, ensure statistical validity, and deliver clear, confident recommendations
Define and maintain the team's core measurement frameworks, including conversion funnels, engagement metrics, and experimentation guardrails, ensuring consistency and reliability across all analyses
Synthesize complex behavioral data into concise, executive-ready narratives that communicate the "so what" behind the numbers and drive prioritization decisions across the online retail organization
Serve as the team's primary thought partner and escalation point - setting analytical standards, reviewing methodologies, and ensuring the quality and integrity of all work delivered to stakeholders
Preferred Qualifications
Hands-on experience with enterprise clickstream analytics platforms such as Adobe Analytics or Google Analytics, and data visualization tools such as Tableau or equivalent
Experience applying advanced data science methodologies to customer behavior or conversion optimization problems - such as predictive modeling, propensity scoring, causal inference, or uplift modeling
Familiarity with multivariate testing frameworks and experience scaling an experimentation program across a large digital commerce organization
BA/BS in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree (MS or MBA) a plus
Exceptional ability to translate complex analytical findings into executive-ready narratives and influence prioritization decisions with senior cross-functional stakeholders
Minimum Qualifications
8+ years of experience in digital analytics, web analytics, or e-commerce analytics, with hands-on expertise in clickstream data analysis and customer behavior measurement across web and app platforms
2+ years of experience managing or leading a team of analysts or data scientists, including setting analytical direction, reviewing methodologies, and supporting team growth and development
Highly proficient in SQL for large-scale extraction, transformation, and analysis of behavioral datasets, with demonstrated ability to work directly with raw clickstream data at scale
Proficient in Python for data science workflows - including statistical analysis, behavioral segmentation, and process automation - with hands-on exposure to modeling or machine learning methodologies applied to real business problems
Deep understanding of e-commerce fundamentals and the key drivers of traffic, engagement, conversion, and revenue - including funnel construction, fallout analysis, buy flow efficiency, and on-site merchandising performance measurement
Proven experience leading an end-to-end A/B testing or experimentation practice - from hypothesis development and test design through sample size calculation, significance testing, and results communication - with strong fluency in statistical concepts including p-values, Type I/II error, confidence intervals, and sequential testing
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 $176,600 and $265,600, 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.