Responsibilities

• Execute A/B tests across offers, gating, messaging, and design to improve baseline conversion performance.
• Support the strategy and execution of key growth initiatives across The Atlantic’s site and app, including day-to-day cross-functional coordination.
• Help launch and optimize subscription partnerships and international growth efforts, including offer setup, onsite testing, and performance tracking.
• Build and maintain onsite tests in Zephr, including customer journeys and HTML/CSS components.
• Contribute to QA processes and experimentation standards that support a reliable and effective testing roadmap.
• Maintain and improve documentation, experimentation records, and Airtable systems so onsite marketing work is organized and accessible.
• Analyze test performance and translate results into clear, actionable recommendations for future iterations.
• Build and maintain dashboards in Looker to monitor experimentation outcomes and surface insights for stakeholders.

Requirements

• Experience in growth, product, marketing, or a related field, ideally with exposure to experimentation, conversion, or subscription growth.
• Ability to interpret test results, identify patterns in performance data, and recommend next steps based on findings.
• Strong organizational skills and attention to detail, with the ability to manage several workstreams at once.
• Clear communication skills and a collaborative working style.
• Comfort working in fast-moving environments and approaching problems with curiosity, initiative, and creativity.

Preferred

• Familiarity with subscription or paywall platforms such as Zephr.
• Experience with analytics and reporting tools such as Looker or Google Analytics.
• Familiarity with project management and documentation tools such as Airtable, JIRA, and Confluence.
• Working knowledge of HTML/CSS.
• Strong technical fluency and comfort working in platforms, systems, and tools that support testing, QA, reporting, and onsite execution.
• Resourceful and self-directed, with the ability to troubleshoot issues, learn new systems quickly, and figure things out independently.
• Open to experimenting with new technologies and workflows, including AI tools such as Claude, Codex, or Glean, to improve efficiency, analysis, and execution.

Benefits