Web Optimization Manager
Posted 22hrs ago
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Job Description
Web Optimization Manager focusing on enhancing the website experience through data analysis and testing strategies. Collaborate with cross-functional teams to drive conversion improvements.
Responsibilities:
- Identify friction points in the user journey through behavioral data analysis and deliver strategic, high-impact recommendations that enhance usability, engagement, and conversion.
- Apply a critical lens to data by questioning assumptions, investigating underlying user behaviors, and continuously refining hypotheses to uncover deeper user insights and inform optimization priorities.
- Develop and prioritize testable hypotheses grounded in both quantitative and qualitative insights to drive iterative improvements in site performance and user flow.
- Own the development and execution of a robust testing roadmap, including A/B and multivariate tests, collaborating with Product, UX, and Marketing Operations to implement.
- Leverage Heap and Power BI to monitor user behavior and site performance, delivering data-driven insights that inform optimization strategies and align with core KPIs.
- Partner closely with data analysts to validate findings and ensure optimization decisions are backed by statistically significant results and business impact.
- Synthesize complex data into compelling narratives that clearly communicate optimization outcomes to cross-functional stakeholders.
- Collaborate with UX and content strategy teams to recommend and implement changes that improve clarity, usability, and the overall site experience across key journeys.
- Maintain and continually refine a backlog of optimization opportunities informed by user behavior, research, industry benchmarks, and business objectives.
- Align stakeholders around testing priorities and site experience goals, facilitating shared understanding of trade-offs, dependencies, and expected outcomes.
Requirements:
- 4+ years of experience in website optimization, digital experience, CRO, 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.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development

















