Senior Product Marketing Manager, AI (Frontier Labs & Enterprise)

Prolific•New York, NY

2h•Remote

About The Position

Prolific is seeking an experienced lifecycle marketer to build and scale the foundations of its self-serve lifecycle programme. The role covers onboarding, activation, retention and reactivation across email and in-app messaging, as well as defining product-qualified signals that help Sales identify accounts worth contacting. The position partners with Product, Customer Success, Sales/RevOps and Product Marketing, and requires someone who can work independently, make sound decisions with minimal direction, and deliver programmes, dashboards and documentation. This is a full-time, three-month fixed-term contract with potential to extend depending on business needs. It is focused on product-led, self-serve marketing, where users sign up and begin using the product independently. The role is not suited to a background focused on demand generation, MQL/SQL pipeline, events or sales-led nurture. In the first month, the Lifecycle Marketing Manager will audit existing programmes, journeys, segmentation and tools; map the self-serve journey by customer segment; identify activation and retention gaps; agree on a prioritised roadmap and success metrics with internal partners; and ship at least one quick win. In the following months, the role will build and launch onboarding, activation, retention, top-up, reactivation and win-back programmes; define PQL and expansion signals and CRM handoffs with Sales/RevOps; establish experimentation; report results; and document programme logic and processes. Prolific is a platform connecting researchers and companies with a global pool of participants to collect high-quality, ethically sourced human behavioral data and feedback. The company describes its work as supporting academic research and AI development, and offers remote working, a competitive salary and benefits within a mission-driven culture.

Requirements

5–7 years of experience in lifecycle, CRM, retention or growth marketing at a product-led or self-serve company, with a record of improving activation, retention or expansion metrics.
Prior contract, consulting or agency experience, or a clear record of independently delivering scoped work to a deadline.
Hands-on ownership of lifecycle programmes for a freemium, free-trial or pay-as-you-go funnel.
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.
Experience defining activation, building behavioural segments and triggers, and using product usage data to drive messaging.
Analytical fluency in cohort analysis, activation and retention curves, funnel conversion and LTV, including the ability to conduct analysis independently in HubSpot, Hex or equivalent without a data team.
Experience designing and running experiments and assessing which results are reliable.
Experience partnering with Sales/RevOps on PQL or usage-based handoffs.
Clear communication, prioritisation and stakeholder-management skills, including the ability to push back and work without close supervision.
Comfort working with ambiguity in a small, high-output team.
Background in product-led, self-serve lifecycle marketing; demand generation, MQL/SQL pipeline, events and sales-led nurture are not the intended background.

Responsibilities

Audit current lifecycle programmes, journeys, segmentation and tooling, including HubSpot, Pendo and Hex.
Map the self-serve journey by customer segment and identify major activation and retention gaps.
Agree a prioritised roadmap and success metrics with Growth Marketing, Product and Customer Success.
Ship at least one quick win, such as improving an existing onboarding email or in-app message.
Design, build and launch onboarding and activation programmes across email and in-app messaging to improve time to first value.
Launch retention, top-up, reactivation and win-back flows for lapsed and dormant users.
Define PQL and expansion signals with Sales/RevOps, including behavioural thresholds, validation against conversion outcomes and a CRM handoff process.
Start a structured experimentation programme across onboarding, email and in-app messaging.
Report on results, learnings and experiment outcomes.
Document journeys, segmentation logic, triggers, PQL definitions and naming conventions.