Senior Lifecycle Marketing Manager

The Motley Fool
$130,000 - $150,000

About The Position

The Motley Fool is seeking a Senior Lifecycle Marketing Manager to lead and scale its "Always On" marketing programs. This role is crucial for driving significant revenue growth by connecting members with the right products, tools, and experiences at the right time through dynamic internal site ads, automated emails, targeted opportunities, and crafted experiences. The position requires a strategic, highly analytical marketer who is comfortable with experimentation, systems thinking, and hands-on execution. The ideal candidate will identify high-leverage growth opportunities across the member lifecycle, build scalable programs, frameworks, and workflows to drive engagement, conversion, retention, and revenue growth. This role involves a blend of strategic thinking, data analysis, experimentation design, AI/automation leverage, and direct execution of campaigns and systems.

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.
  • Ability to move between strategy and execution without relying heavily on large support teams or specialized operators.
  • A strong interest in investing and personal finance.

Nice To Haves

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

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.
  • Balance strategic leadership with hands-on execution and rapid iteration.

Benefits

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