Lifecycle Marketing Manager

New

ProlificHuman data platform

Remote, UKContractManager

Salary not disclosed

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Job Details

Experience: 5-7 years in lifecycle, CRM, retention or growth marketing at a product-led / self-serve company
Required Skills: HubSpotCRM

Have 5–7 years of lifecycle, CRM, retention or growth marketing experience at a product-led or self-serve company.
Show a track record of moving activation, retention or expansion metrics.
Have prior contract, consulting or agency experience, or a clear record of delivering scoped work independently to a deadline.
Have hands-on ownership of lifecycle programmes for a freemium, free-trial or pay-as-you-go funnel.
Have strong experience with email/CRM platforms such as HubSpot or equivalent and in-product messaging tools such as Pendo, Appcues, Intercom, Braze, Customer.io or Iterable.
Have experience defining activation, building behavioural segments and triggers, and using product usage data to drive messaging.
Be able to analyze cohorts, activation and retention curves, funnel conversion and LTV using HubSpot, Hex or equivalent.
Have experience designing and running experiments and evaluating results.
Have experience partnering with Sales/RevOps on product-qualified lead or usage-based handoffs.
Be able to prioritize, push back and manage stakeholders without close supervision.

Audit current lifecycle programmes, journeys, segmentation and tooling, including HubSpot, Pendo and Hex.
Map the self-serve journey by customer segment and identify activation and retention gaps.
Agree a prioritised roadmap and success metrics with Growth Marketing, Product and Customer Success.
Build and launch onboarding and activation programmes across email and in-app messaging.
Launch retention, top-up and reactivation or win-back flows for lapsed and dormant users.
Define product-qualified lead and expansion signals with Sales/RevOps, including behavioural thresholds and CRM handoff.
Run experiments across onboarding, email and in-app messaging.
Report experiment outcomes, results and learnings.
Document journeys, segmentation logic, triggers, PQL definitions and naming conventions.

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