Ladders
Growth Designer
New York or Remote
Sponsorship not specified$80k-$120kDetected 34 days ago
A/B TestingFigmaAdobe Creative SuiteUX ResearchWireframingProduct StrategyPerformance MarketingResearchLeadershipCommunicationCollaborationAdaptability
About the role
- We're looking for an experienced designer who thrives at the intersection of product, marketing, conversion optimization, and user experience.
- We are especially interested in seeing examples of websites, landing pages, growth experiments, lifecycle experiences, e-commerce flows, performance creative, and measurable business impact.
Responsibilities
- Drive conversion rate optimization (CRO) initiatives and contribute to experimentation and A/B testing programs.
- Design and optimize website experiences, landing pages, e-commerce flows, lifecycle email journeys, and paid advertising campaigns.
- Partner closely with Product, Engineering, Marketing, and Leadership to improve acquisition, activation, engagement, retention, and revenue.
- Lead user research, ideation, wireframing, prototyping, testing, and final design execution.
- Create and iterate on performance marketing creative informed by customer insights and business results.
- Use analytics, user behavior data, and research findings to inform design decisions.
- Present design rationale and recommendations to stakeholders across the company.
- Support implementation and ensure a high-quality user experience from concept through launch.
- Beautiful, intuitive experiences that drive measurable business results.
Requirements
- 7+ years of experience in design, growth, marketing, or UX/UI design.
- Experience with conversion optimization, experimentation, and performance-focused design.
- Expertise in Figma, Adobe Creative Suite, Dovetail, etc.
- Strong understanding of user behavior, analytics, and data-informed design.
Skills
- About Ladders
Compensation
- $80k-$120k
Benefits
- Comprehensive medical, dental, and vision coverage with approximately 83% employer-paid premiums.
- Faster experimentation cycles and learning velocity.
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