Lifecycle Marketing Manager

San Francisco, CA (Hybrid)

$150K/yr – $210K/yrMid Level8+ years expFull time

Posted 6 weeks ago

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Job Summary

Own lifecycle programs end-to-end, turning first-use into repeat monetization through data driven experiments and AI aided automation.

  • Lifecycle Strategy: Own always on journeys from brief to launch, driving adoption, retention, and monetization.
  • Systems & Tech: Build scalable workflows with reverse ETL, APIs, and event triggers to power personalized journeys.
  • Insights & Collaboration: Translate signals from product, support, and sales into audience definitions and hypotheses, then run experiments with product and PMMs.

Job Description

Responsibilities

  • Own always-on lifecycle journeys end-to-end: Design and run growth programs that drive adoption, repeat usage, and monetization outcomes, turning "first try" into "part of how I work”. Act as a strategic operator, you’ll bring work from high-level strategy through to launch, owning everything in between.
  • Build systems that scale: Bring systems thinking to how Lifecycle Marketing operates—from intake and campaign execution to QA, measurement, and channel governance—using AI and automation to increase velocity and quality across programs.
  • Demonstrate deep technical fluency: Leverage knowledge of reverse ETL, data pipelines, APIs, webhooks, and event-based triggers to design sophisticated, personalized journeys that go beyond the traditional MarTech stack.
  • Translate customer signals into targeted engagement: Synthesize research, support, community, and sales inputs into audience definitions and behavioral triggers that deliver the right message at the right moment—across email and in-product—for every user context, from new members to power users.
  • Run rigorous experimentation: Partner with Data and Product to define hypotheses, implement tracking, measure lift, and share learnings. Bring alignment on lifecycle touchpoints with Product Growth and PMMs to ensure cohesive, not disconnected, experiences.
  • Tell the story of what's working: Turn engagement data, experiment results, and behavioral patterns into clear readouts, roadmap influence, and persuasive narratives for stakeholders.
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Butler Labs

Butler is the first and only tool that enables any engineer to train and tune a highly efficient ML model without needing to take a multi-year ML course. Enabling you to quickly implement product features and improvements to delight your users.

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