Responsibilities

• Own day-to-day Always On marketing across site ads, order pages, automated campaigns, and targeted member experiences.
• Identify high-impact growth opportunities through experimentation, segmentation, behavioral analysis, and lifecycle performance insights.
• Design and scale experimentation frameworks across lifecycle touchpoints, messaging, offers, timing, targeting, and channel strategy.
• Build scalable lifecycle systems, workflows, and operational processes that improve efficiency and marketing performance over time.
• Influence lifecycle strategy and prioritization across Product, Marketing, Analytics, and Engineering stakeholders.
• Leverage AI and automation to improve targeting, accelerate analysis, scale testing, optimize creative iteration, and enhance operational decision-making.
• Write, refine, or adapt direct-response messaging and marketing copy using AI-assisted workflows and performance insights.
• Translate complex data and experimentation results into actionable business recommendations and growth opportunities.
• Help evolve segmentation strategy, lifecycle architecture, and personalization capabilities across the member journey.
• Work closely with lifecycle systems, experimentation tools, analytics environments, and machine learning-supported marketing platforms.

Requirements

• 7+ years of experience in lifecycle marketing, growth marketing, experimentation, retention/CRM, marketing strategy, or related fields.
• Experience owning multi-channel marketing programs, ideally including onsite placements, automated messaging, email, upgrade flows, testing programs, or other direct-response environments.
• Strong marketer mindset with a willingness to work directly in the platforms, tools, workflows, and execution details that drive lifecycle performance.
• Deep understanding of experimentation strategy, segmentation, targeting, personalization, and lifecycle optimization.
• Strong analytical skills and comfort translating data into strategic recommendations and business decisions.
• High technical fluency with lifecycle systems, automation platforms, analytics tools, and AI-enabled workflows.
• Experience leveraging AI tools to accelerate growth, experimentation, operational scale, and marketing effectiveness.
• Strong direct-response instincts and understanding of performance marketing principles.
• Experience writing or optimizing marketing copy and messaging using AI-assisted workflows.
• Comfort working cross-functionally with technical and business stakeholders.

Preferred

• Prior people management is not required, but experience mentoring, coaching, or helping develop other marketers is strongly preferred.
• A strong interest in investing and personal finance. Experience in financial services, fintech, investing, or a similarly data-driven subscription business is strongly preferred.