Lifecycle Marketing Manager
New
T
Time DoctorB2B SaaS
We hire globally, Minimum four-hour daily overlap with US Eastern (ET) business hours.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5 to 7 years in lifecycle, CRM, customer or retention marketing at a B2B SaaS company.
- Required Skills
- HubSpotCRM
Requirements
- 5 to 7 years in lifecycle, CRM, customer or retention marketing at a B2B SaaS company.
- Track record designing and running behavior-triggered customer journeys with owned adoption, retention or expansion outcomes.
- Ability to work with product-usage and account data to define customer segments, propensity and churn logic.
- Ability to specify scoring and routing requirements for implementation by GTM Ops.
- Experience with a marketing automation or lifecycle stack such as HubSpot.
- Experience in cohort analysis.
- Experience running expansion, cross-sell or renewal-support programs.
- Experience coordinating opportunity handoffs with Customer Success and Sales.
- Ability to work across lifecycle marketing, Growth and Customer Success responsibilities.
- Hands-on experience building agents or agentic workflows that perform real work.
- Availability for at least four hours of daily overlap with US Eastern business hours.
Responsibilities
- Own the marketing-led 30/60/90 onboarding program and ongoing customer adoption and education.
- Segment paying customers using profile, product usage, engagement, lifecycle stage, adoption, expansion propensity and churn risk.
- Design, build and QA customer journeys and triggers for the appropriate cohorts.
- Develop expansion and cross-sell plays and route qualified opportunities to Sales and CS.
- Run proactive retention, re-engagement and win-back programs for at-risk, dormant and churned accounts.
- Coordinate value-recap campaigns and customer communications around renewals and product updates.
- Identify advocates and manage review-site, referral, testimonial and reference asks.
- Analyze lifecycle performance and improve programs using cohort, adoption, retention and expansion data.
- Build and operationalize AI agents and workflows for segmentation, journey testing, communications and cohort analysis.
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