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Senior Lifecycle Marketing Manager

Senior Lifecycle Marketing Manager

CompanyBlock
LocationOakland, CA, USA
Salary$149400 – $270000
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • 8+ years of experience in lifecycle, CRM, or retention marketing, ideally in a complex, multi-product environment
  • Deep understanding of customer journeys, segmentation, and automation strategy
  • Strong analytical skills with experience using data to inform decisions and optimize programs
  • Proven ability to plan and execute multi-channel marketing programs from concept through analysis
  • Experience managing lifecycle campaigns in platforms like Braze, Iterable, or similar ESPs
  • Familiarity with CRM and CDP tools such as Salesforce and Segment
  • Strong business acumen and fluency in core marketing metrics like LTV, churn, and incrementality
  • Excellent communication and storytelling skills, with the ability to influence cross-functional stakeholders and leadership
  • Exceptional project management and organizational skills; capable of managing multiple workstreams independently
  • Comfort navigating ambiguity and working in a fast-paced, evolving environment

Responsibilities

  • Own and drive a cohesive lifecycle marketing strategy for your remit that aligns with broader go-to-market and team priorities
  • Lead the planning, execution, and iteration of lifecycle campaigns and experiments across email, in-product messaging, and SMS
  • Monitor dashboards to track lifecycle performance and KPIs and report on insights regularly
  • Design and analyze A/B tests and experiments to drive continuous optimization
  • Map ideal seller journeys and adoption paths, identifying high-leverage opportunities for engagement
  • Create personalized, event-triggered journeys that deliver relevant content at the right moments
  • Implement governance frameworks that ensure consistency, quality, and transparency across campaigns
  • Collaborate with Data Science and Marketing Operations to define technical requirements for data-driven personalization
  • Standardize lifecycle processes and documentation, making them scalable across teams
  • Identify and prioritize infrastructure improvements, tooling gaps, and operational enhancements
  • Champion best practices for segmentation, experimentation, and messaging strategy

Preferred Qualifications

    No preferred qualifications provided.