Jobs · Manufacturing · California

Manager, Landing Page Optimization

Airwallex · San Francisco, CA · 2 wk ago
HybridManufacturing$110k–$170k/yrFull-time

Responsibilities

  • Own the LPO personalization flow for performance marketing and growth marketing for USA and EMEA markets — aligning with acquisition, CAC, and ROI targets.
  • Scale high-velocity, hands-on landing page development in Contentful for growth marketing — creating tailored experiences by region, channel, and audience segment to maximize conversion rates and win more auctions.
  • This would also include experiments to arrive at best practices for per (A/B, multivariate, personalization, and geo experiments) across paid channels, organic, and full-funnel journeys.
  • Partner with performance marketing and regional marketing teams to quickly iterate and tailor pages for local audiences — adjusting tone, design hierarchy, and content relevance.
  • Collaborate with Product Marketing and Creative to align regional messaging, visuals, and offers with audience intent and funnel stage.
  • Develop frameworks that connect media intent (keyword/audience) with on-page experience, ensuring seamless ad-to-landing continuity and Quality Score improvement.
  • Use Contentful to design, build, and execute tests and localized variants efficiently.
  • Collaborate with Web Engineering and Design to launch new experiences with strong QA and iteration cadence.
  • Manage a CRO experimentation pipeline, documenting learnings, winning variants, and reusable templates.
  • Leverage heatmaps, session recordings, and behavioral tools (Hotjar, FullStory, Microsoft Clarity) to identify drop-offs and optimization opportunities.
  • Collaborate with Paid Media to test message consistency between ads and landing pages, driving lower CAC and higher down-funnel conversion.
  • Define and track key KPIs — conversion rate (CVR), bounce rate, funnel progression, form completion, MQL→SQL rates, and CAC efficiency.
  • Build dashboards in Looker, Tableau, or GA4 to visualize test performance and share insights across teams.
  • Analyze experiment data with statistical rigor, ensuring significance and scalability.
  • Partner with Analytics and RevOps to connect web performance with Salesforce (SFDC) and Marketo data for end-to-end visibility.
  • Monitor page speed, UX quality, and mobile responsiveness across both regions, improving experience consistency.
  • Collaborate with Performance Marketing, Product Marketing, and Design to turn campaign insights into optimized landing experiences.
  • Work with Regional Marketing (APAC, EMEA, US) to align on frameworks and share CRO best practices globally.
  • Partner internally and with Analytics to align test results with downstream business metrics (CAC, pipeline efficiency, ROI).
  • Serve as the internal advocate for experimentation — promoting data-driven UX decisions and continuous improvement.
  • Coordinate localization workflows with regional teams to ensure compliance (e.g., GDPR) and cultural accuracy in copy and layout.

Qualifications

  • 5–8 years of experience in Conversion Rate Optimization (CRO), Web Strategy, or Performance Marketing, ideally in B2B SaaS or fintech.
  • Proven success driving conversion improvements and reducing CAC through structured, data-led experimentation.
  • Strong understanding of A/B testing methodologies, UX principles, and performance analytics.
  • Experience working across multiple regions (U.S. and EMEA) — balancing global consistency with local nuance.
  • Excellent cross-functional collaboration and stakeholder management skills.
  • Bachelor’s degree in Marketing, Econometrics, Computer Science, Business Analytics, UX Design, or related field.
  • Experience with Google Analytics 4 (GA4), Looker, Tableau, Power BI.
  • Experience with Hotjar, FullStory, Crazy Egg, Microsoft Clarity.
  • Experience with Salesforce (SFDC), Marketo, HubSpot for lead tracking and attribution.
  • Basic HTML/CSS understanding for test implementation.
  • Experience with SQL, BigQuery, or advanced Sheets-based analysis for experiment validation.

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