CRO / Data Optimization Specialist

Role Overview

We’re looking for a CRO & Data Optimization Specialist to own experimentation, insights, and optimization across our entire on-site funnel—from landing pages to PDPs to checkout.

This role is responsible for squeezing maximum revenue out of our existing traffic by planning and executing A/B tests, uncovering insights from user behavior, and partnering with design, copy, and dev to ship high-impact improvements quickly.

This is not a reporting-only role. This is a hands-on, execution-focused position for someone who knows how to turn data into action.

We are looking for candidates based in LATAM or the Philippines.

Key Responsibilities

Own Experimentation & Testing
• Plan, launch, and analyze A/B and multivariate tests across landing pages, PDPs, funnels, and checkout
• Write clear hypotheses and structured testing briefs
• Maintain a consistent testing cadence and roadmap

Optimize the Full Funnel
• Improve LP → PDP → ATC → Checkout performance
• Identify and prioritize opportunities across messaging, layout, pricing, offers, and UX
• Optimize for CVR, AOV, and net conversion efficiency

Analyze & Interpret Data
• Pull and interpret data from GA4, Northbeam, Shopify, Hotjar, heatmaps, and session recordings
• Identify patterns in user behavior, drop-offs, and friction points
• Translate findings into clear insights and next actions

Collaborate Cross-Functionally
• Partner with copywriters and designers to iterate on winning variations
• Work closely with dev or no-code builders to implement tests
• Align with performance and growth teams to support paid traffic efficiency

Build Systems & Insights
• Create weekly CRO roadmaps and testing priorities
• Deliver clear insights and recommendations on a regular cadence
• Continuously improve experimentation frameworks and documentation

Leverage AI for Speed & Scale
• Use AI tools to accelerate analysis, ideation, hypothesis writing, and insight reporting
• Integrate AI into daily workflows to improve output and speed without sacrificing quality

Key Performance Indicators (KPIs)

Higher conversion rates (CVR) across funnels
Increased AOV and improved net contribution margin
Improved NC ROAS from existing traffic
Increased testing velocity and experiment throughput
Clear, actionable insights delivered consistently

Required Skills & Qualifications

Must-Have Skills:
• Deep DTC eCommerce experience (funnels, PDP optimization, paid traffic behavior, offer structures)
• Hands-on experience with CRO and experimentation platforms (Convert, VWO, AB Tasty, or similar)
• Strong analytical mindset with the ability to tell a clear story from data
• Experience working with GA4, Shopify analytics, attribution tools, and behavior analytics
• Understanding of front-end structure and experimentation constraints (no need to be a developer)

AI / LLM Proficiency (Required):
• Active use of AI tools such as ChatGPT, Claude, Gemini, Perplexity, Midjourney, or similar to:
• Speed up data analysis
• Generate and prioritize test ideas
• Draft hypotheses and testing plans
• Summarize insights and results
• Build faster, clearer insight decks
• Demonstrated ability to use AI as a force multiplier for a 10–20%+ productivity lift
Who Should Apply?

✅ Apply if you:
• Love experimentation and learning from real user behavior
• Enjoy turning messy data into clear, actionable insights
• Take ownership and don’t wait to be told what to test next
• Thrive in fast-moving, performance-driven environments

Do not apply if you:
• Prefer reporting over execution
• Are uncomfortable with data or experimentation
• Don’t enjoy iteration, testing, or feedback
• Need rigid processes or heavy hand-holding

Compensation & Work Environment

Full-time, remote
Competitive compensation based on experience
High ownership, low bureaucracy
Direct impact on revenue and growth
Opportunity to scale your influence across multiple brands

Application Process
• Submission of resume and relevant experience
• Initial interview with the HR team
• Skills or case-based assessment
• Final interview with the Department Manager

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