
Web Optimization Manager
Department:SEO Marketing
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$80,000 - $120,000
Skills:
A/B TESTINGMULTIVARIATE TESTINGWEB ANALYTICSCONVERSION RATE OPTIMIZATIONDATA ANALYSISUSER EXPERIENCEMARKETING TECHNOLOGYHYPOTHESIS-DRIVEN TESTINGGOOGLE ANALYTICSADOBE ANALYTICSOPTIMIZELYDYNAMIC YIELDGOOGLE OPTIMIZEADOBE TARGET
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Job Description
Posted on: February 4, 2026
Web Optimization ManagerLocation: 100% Remote
Duration: Long Term
Job Responsibilities:
- Develop and prioritize testable hypotheses grounded in both quantitative and qualitative insights to drive iterative improvements in site performance and user flow.
- Should be heavily focused on data decision-making and be able to easily translate raw data, reports, and analysis into actionable tests.
- Identify friction points in the user journey through behavioral data analysis and deliver strategic, high-impact recommendations that enhance usability, engagement, and conversion.
- Must understand complex user journeys and audience segmentation and know how to build web-based experiences to reduce friction within those journeys.
- Collaborate with UX and content strategy teams to recommend and implement changes that improve clarity, usability, and the overall site experience across key journeys.
- Must be able to build business requirements and translate them to the UX and MarTech (Marketing Technology) teams for campaign build. They should have some technical fluency and be able to partner actively with technical and non-technical stakeholders.
- Proficient in A/B and multivariate testing tools such as Dynamic Yield, Optimizely, Google Optimize, Adobe Target, or similar.
- Must have extensive A/B testing experience on websites using testing platforms.
Required Skills & Experience:
- Four (4) – seven (7) years of experience in website optimization, digital experience, CRO (conversion rate optimization), or a similar role.
- Deep experience working with web analytics platforms (e.g., Heap, Adobe Analytics, Google Analytics).
- Proficient in A/B and multivariate testing tools such as Dynamic Yield, Optimizely, Google Optimize, Adobe Target, or similar.
- Strong hypothesis-driven mindset, with a proven ability to design, run, and analyze digital experiments.
- Advanced analytical skills with the ability to work independently on web data and partner with data teams for deeper analysis.
- Comfortable working with cross-functional teams, including UX, content, product, and engineering, to bring ideas to life.
- Strong communication skills and the ability to present insights in a clear, actionable, and persuasive way.
Required Education:
- Bachelor’s degree in Marketing, Digital Marketing, Analytics, Business, or a related field.
Originally posted on LinkedIn
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