Conversion Optimization Manager

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$183,700–$276,200 / yr
Posted
134 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $230k
$138k most similar roles pay here $291k

This role pays more than 62% of similar roles. Most pay $176,600–$251,906 — the shaded band above. At the midpoint, this role pays about $230k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Conversion Optimization Manager

As the Conversion Optimization Manager - Apple Retail Online, you will lead a team of data scientists within the Retail Online Analytics group to enhance the digital shopping experience. You will oversee site engagement and conversion analytics while managing a dedicated A/B testing practice to drive data-driven decision-making for the online retail business. Your daily responsibilities include analyzing customer behavior across the full purchase journey, evaluating on-site merchandising performance, and developing executive-ready reports that translate complex behavioral data into actionable insights. To succeed, you must possess expertise in SQL for large-scale data extraction, Python for data science workflows and automation, and deep knowledge of e-commerce fundamentals like funnel construction and fallout analysis. You will also manage the end-to-end experimentation process, ensuring statistical rigor across all testing designs to optimize how customers discover and purchase products online.

What you'll do

  • Analyze customer behavior across the full online shopping journey to identify friction points and improve conversion rates.
  • Evaluate on-site merchandising performance by measuring how customers interact with placements, modules, and promotional content.
  • Lead the end-to-end A/B testing practice from hypothesis development and design through statistical analysis and results communication.
  • Define and maintain core measurement frameworks for conversion funnels, engagement metrics, and experimentation guardrails.
  • Synthesize complex behavioral data into concise, executive-ready narratives to drive prioritization decisions across the organization.
  • Manage and mentor a team of data scientists and experimentation specialists by providing strategic direction and professional development.
  • Serve as the primary thought partner to ensure analytical standards and quality for all work delivered to stakeholders.

What we're looking for

  • 8+ years of experience in digital, web, or e-commerce analytics with expertise in clickstream data and customer behavior measurement.
  • 2+ years of experience managing or leading a team of analysts or data scientists.
  • Proficiency in SQL for large-scale extraction, transformation, and analysis of raw behavioral datasets.
  • Proficiency in Python for data science workflows, including statistical analysis, segmentation, and automation.
  • Deep understanding of e-commerce fundamentals, including funnel construction, buy flow efficiency, and merchandising performance.
  • Proven experience leading an end-to-end A/B testing practice with strong fluency in statistical concepts like p-values and confidence intervals.
  • Ability to translate complex analytical findings into executive-ready narratives for senior cross-functional stakeholders.
  • BA/BS in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree is a plus.

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