Lifecycle Marketing Manager

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, 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. Requirements 8–10 years experience in lifecycle marketing, product management, growth marketing, product marketing, or product‑led engagement, with PLG experience preferred Proven track record owning always‑on, triggered lifecycle programs end to end that drive measurable adoption, retention, and monetization outcomes Strong MarTech system fluency in concepts such as reverse ETL, data pipelines, APIs, webhooks, and more that enable you to build workflows from brief to build, to launch and measure Systems mindset and love for building repeatable processes and improving tooling to scale quality and velocity with the help of AI and Agents. Comfort with designing A/B tests with pre‑registered hypotheses and holdout groups. Strong customer empathy and segmentation instincts—able to synthesize qualitative + quantitative inputs into clear audience definitions, intent models, and lifecycle interventions. Excellent messaging and copy craft with a user‑first lens, able to turn fuzzy problems into clear narratives and next best actions Strong storytelling and stakeholder management skills, with the ability to turn insights into clear strategy, priorities, and persuasive narratives Analytical strength and ability to define success metrics, partner with Data and Engineering on eventing, and evaluate results with discipline #J-18808-Ljbffr