Senior Lifecycle Marketing Manager

1 day, 10 hours ago
Full-time
Senior
Marketing and Growth
LawnStarter

LawnStarter

LawnStarter provides an online platform for booking lawn mowing services from local professionals, ensuring a seamless and efficient customer experience with transparent pricing and a focus on quality and reliability.

Professional Services
11-50
Founded 2013
$18M raised

Description

  • Own lifecycle marketing strategy, roadmap, copy, execution, and measurement across three brands.
  • Manage email, SMS, in-app, and push messaging, including audiences, triggers, timing, frequency, and content.
  • Build AI-driven skills, prompts, API workflows, and quality checks that generate and deploy Braze content.
  • Develop personalization, segmentation, conversational messaging, and automated campaign-building capabilities.
  • Lead testing and analysis across conversion, onboarding, retention, winback, and cross-sell programs.
  • Monitor approximately 400 transactional messages sent 63,000 times daily and investigate delivery, duplication, timing, and cross-channel issues.
  • Partner with engineering and support to diagnose and resolve transactional messaging problems.
  • Apply brand voice and design standards across approximately 1,750 templates for three brands.
  • Collaborate with CRO on initiatives involving both lifecycle messaging and on-site experiences.

Requirements

  • Demonstrated experience using agentic AI tools such as Claude Code, Codex, Cursor, or similar to perform real work.
  • Experience writing AI skills or agents that run autonomously and produce measurable results.
  • Comfort working with repositories, version control, and AI-generated Liquid, HTML, and JSON.
  • Hands-on experience building and operating campaigns in Braze, including familiarity with its API.
  • Strong lifecycle marketing experience spanning customer acquisition, onboarding, retention, reactivation, or winback.
  • Ability to write customer-facing copy and interpret statistical test results independently.
  • Customer-centered approach to segmentation, messaging, and hypothesis development.
  • Ability to investigate messaging failures across canvases, events, data, and channels.
  • Comfort forming strong hypotheses, changing direction based on data, and communicating when an idea was wrong.
  • Evidence of advanced AI usage and prior work or results to demonstrate during the interview.

Benefits

  • Base salary of $135,000–$165,000.
  • Equity ownership.
  • Medical, dental, and vision coverage.
  • Fully remote role within the United States.
  • Flexible paid time off.

Interested in this position?

Apply directly on the company website

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