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Amazon Split-Testing Specialist

Livaclean

Remote

IDR 1.171.744.000 - 1.506.529.000

Full time

Yesterday
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Job summary

A dynamic e-commerce brand is seeking a Brand Manager to lead the end-to-end optimization of Amazon product listings. This role requires expertise in A/B testing, data-driven decision-making, and collaboration with cross-functional teams to enhance sales performance. The ideal candidate has over 5 years of experience in brand management and a strong understanding of Amazon SEO and conversion strategies. We offer a fully remote work environment.

Qualifications

  • 5+ years of Amazon brand management or listing optimization experience.
  • Proven track record running A/B tests with measurable improvements.
  • Deep understanding of Amazon SEO and consumer psychology.

Responsibilities

  • Develop and maintain a structured A/B testing roadmap.
  • Run continuous tests on titles, images, bullets, and pricing.
  • Analyze test outcomes and optimize based on data-driven insights.

Skills

Amazon brand management
Listing optimization
A/B testing
Data analysis
SEO understanding
Job description
About the job Amazon Split-Testing Specialist
About the Company

Living Clean is a 7-year-old ecommerce brand specializing in pimple patches and skincare products, with strong presence in the U.S. and Canada and expanding into Europe, Mexico, and Brazil. We operate as a fully remote team across Pakistan, Philippines, India, and Latin America.

We are looking for a highly analytical Brand Manager with deep experience in Amazon listing optimization, structured A/B testing, and conversion rate improvement.

Role Overview

The Brand Manager will own the end-to-end optimization of Amazon product listings across all marketplaces. This role focuses heavily on A/B testing, creative experimentation, and data-driven decision-making to maximize conversion rates (CVR) and organic ranking.

You will collaborate closely with the PPC team, design team, and leadership to drive measurable improvements in sales performance.

Key Responsibilities

Develop and maintain a structured A/B testing roadmap.

Run continuous tests on titles, images, bullets, A+ content, storefronts, and pricing.

Analyze test outcomes and optimize based on data-driven insights.

Document results and build repeatable testing frameworks.

Listing Optimization

Optimize titles, bullets, back-end keywords, and description for SEO + conversion.

Ensure listings align with brand voice and marketplace policies.

Partner with designers on image stacks, infographic ideas, and differentiators.

Improve A+ content, Brand Story, and comparison charts.

Conversion Rate Improvement (CRO)

Identify friction points using data (brand analytics, CVR trends, session data, search query performance).

Improve click-through rate (CTR), glance views, and organic rank.

Conduct competitor analysis and implement insights.

Launch & Growth Strategy

Support PPC team with optimized creatives for launch.

Build listing launch checklists and ranking strategies.

Ensure global marketplace listings follow cultural and linguistic best practices.

Cross-functional Collaboration

Work with PPC team on coordinated experiments and messaging.

Guide designers with test ideas and creative instructions.

Communicate progress and insights to leadership weekly.

Operational Ownership

Maintain listing health and compliance.

Track KPIs like CVR, CTR, TACOS, ranking, and review velocity.

Build SOPs for testing, optimization, and creative briefing.

Requirements
Must-Have

35+ years Amazon brand management or listing optimization experience.

Proven track record running A/B tests with measurable improvements.

Deep understanding of Amazon SEO, consumer psychology, and CTR/CVR drivers.

Ability to analyze data and translate into actionable insights.

Experience collaborating with designers and PPC teams.

Strong written communication and organizational skills.

Nice-to-Have

Experience in beauty, skincare, or supplements.

Experience across multiple Amazon marketplaces (EU, CA, MX, BR).

Prior work with remote, multinational teams.

Basic knowledge of PPC structure and performance metrics.

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