Lifecycle Marketing Lead: Onboarding & Retention

Ultra Pouches; New York (NY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

HSA access

401(k)

Bathhouse membership

Unlimited PTO

Job summary

ULTRA is seeking a Lifecycle Marketing Manager to own the customer journey post-purchase. You will design, build, and optimize personalized onboarding experiences and communications to maximize retention and LTV.

Reporting to the Head of Growth and collaborating with the CMO, you’ll manage multi-step flows inside the ESP, run experiments, and translate performance data into repeatable, scalable improvements, while keeping the customer at the center of every decision.

Qualifications

• Hands-on and fluent in Klaviyo or a comparable ESP.
• Think from the customer perspective to craft compelling messaging.
• Data-literate with dashboards and flow analytics to iterate improvements.
• Manage multi-flow lifecycle programs with precision and care.
• Tie lifecycle work to churn reduction and LTV growth.

Responsibilities

• Build and manage onboarding, activation, habit formation, subscription nudges, winback, and reactivation flows.
• Design highly personalized onboarding journeys that meet customers where they are.
• Write and brief lifecycle copy and collaborate with Creative to bring flows to life.
• Build end-to-end lifecycle experiences inside the ESP with segmentation and triggers.
• Run tests, analyze results, and iterate on onboarding and messaging strategies.
• Partner with Growth and Brand to plan offers and retention-focused initiatives.

Skills

Lifecycle marketing

Email marketing

Data analysis

Customer segmentation

Tools

Klaviyo

Job description

ULTRA is seeking a Lifecycle Marketing Manager to own the customer journey post-purchase. You will design, build, and optimize personalized onboarding experiences and communications to maximize retention and LTV.

Reporting to the Head of Growth and collaborating with the CMO, you’ll manage multi-step flows inside the ESP, run experiments, and translate performance data into repeatable, scalable improvements, while keeping the customer at the center of every decision.