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
- Speed up data analysis
- 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