Executive Assistant supporting the Chief Revenue Officer at Lovable. Managing complex calendars and communications while enhancing the effectiveness of the leadership team.
About the role
- Data-driven Conversion Rate Optimization leader focusing on experimentation and funnel analysis. Identifying opportunities to increase conversion rates, revenue per visitor across web and mobile platforms.
Responsibilities
- Identify user journey improvement opportunities across web and mobile experiences.
- Develop clear, data-backed hypotheses and design A/B and multivariate experiments.
- Prioritize testing roadmap based on projected impact, effort, and business objectives.
- Analyze experiment results using sound statistical methods and clearly communicate insights and recommendations to stakeholders.
- Audit end-to-end customer journeys to identify friction points and revenue leakage.
- Quantify and diagnose drop-off across key funnel stages including onboarding, product discovery, cart, and checkout.
- Conduct competitive and market analysis to inform feature enhancements and journey improvements.
- Partner with product and UX to implement optimizations that improve conversion and customer experience.
- Develop and maintain dashboards tracking core KPIs including CVR, RPV, AOV, and funnel progression.
- Analyze behavioral data, segmentation insights, and qualitative feedback to inform experimentation strategy.
- Translate analytical findings into structured, testable initiatives aligned to revenue impact.
- Partner closely with Product, Marketing, Design, and Engineering to execute testing initiatives.
- Support and promote a culture of experimentation by sharing learnings, best practices, and measurable outcomes across teams.
Requirements
- 4–8 years of experience in conversion rate optimization, growth, digital product optimization, or related performance marketing roles, ideally within eCommerce or mobile environments.
- Strong analytical foundation with hands-on experience designing, launching, and analyzing A/B and multivariate tests.
- Demonstrated success improving conversion rate, revenue per visitor, average order value, or other core performance metrics.
- Proficiency with experimentation platforms (e.g., Optimizely, VWO, Adobe Target) and analytics tools (e.g., GA4, Amplitude, Mixpanel).
- Bachelor’s degree in business, Marketing, Economics, Statistics, Data Science, Computer Science, Engineering, or a related quantitative field required, MBA or master’s degree in Analytics, Statistics, or related field a plus.
- Experience optimizing high-traffic eCommerce websites or mobile applications preferred.
- Exposure to UX research methodologies and ability to translate insights into testable hypotheses preferred.
- Background in statistics, behavioral economics, or data modeling preferred.
- Familiarity with personalization strategies, segmentation, and AI-driven optimization techniques preferred.
Benefits
- Health, Dental, and Vision Insurance
- Life Insurance
- Pet Insurance
- Mental Health Benefits
- 401(k) with matching
- Excellent Work/Life Balance – Paid Time Off, Sick Days, Paid Holidays, and Floating Holidays
- Employee Product Discounts
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