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Prolific is seeking a lifecycle marketing professional to own onboarding, activation, retention and win-back programs in a self-serve, product-led environment. You will craft email and in-product messages, run experiments, and ship scoped work to deadlines.
Ideal candidates bring hands-on tooling experience, comfort with product usage data and cohort analysis, and a track record of delivering measurable growth without heavy supervision.
The posting is for a lifecycle marketing role, not the product marketing title in the header. It asks for someone who has run onboarding, activation, retention and win back programmes in a self serve, product led business, working across email and in product messages. A strong candidate brings hands on tool experience, comfort with product usage data and cohort analysis, and a record of shipping scoped work alone to a deadline.
How it fits the AI era
The company sells verified human feedback to researchers and AI labs, so the work sits close to how AI systems get real human input. The marketing craft itself is still about segments, triggers and experiments, and judgement about which results to trust stays with the person. AI tools may speed up drafting and analysis, but the calls on what to build and what counts as success remain human.
How it builds AI experience
The role offers little direct AI work, since it centres on lifecycle programmes and tooling. The AI exposure comes from the company context: learning how labs and researchers buy human data and how fake responses shape demand for verified participants. Building that knowledge means following how AI teams source feedback and how product usage signals feed sales conversations.
Worth showing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Prolific
A platform of ID-verified human participants that researchers and AI labs use to collect real human feedback, at a time when AI-generated fake responses are becoming a growing problem in online research.