Lifecycle Marketing Manager

San Francisco, CA (Hybrid)

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

Posted 5 weeks ago

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Job Summary

Own end-to-end lifecycle growth with PLG and always-on programs, turning first use into ongoing engagement. Build scalable systems that span intake to launch and governance with AI glue. Design personalized journeys from signals using data pipelines and APIs for email and in-product messaging.

  • Lifecycle ownership: end-to-end programs driving adoption, retention, and monetization
  • Systems and AI: automation, QA, measurement, and channel governance
  • Audience & experiments: synthesize signals into targeting and run rigorous, learn-fast tests

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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Founded in 2016
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