Senior RevOps Manager (12 month FTC)

Hybrid

Responsibilities

Own revenue planning and target-setting in close partnership with Finance and FP&A
Lead quota modelling and compensation plan design, and manage the operational execution of comp plans
Maintain and continuously improve our forecasting model, accounting for the nuances of a consumption-based revenue model
Build and maintain pipeline models that serve both sales-led and PLG-driven motions
Own HubSpot as the primary CRM administrator for Prolific for Research, including all workflows, automations, and customisations required to support multiple GTM motions
Maintain a prioritised RevOps roadmap that enables sales, customer success, marketing, and data teams to operate effectively
Ensure the data warehouse and CRM are well-integrated so that customer journey signals are accessible to the teams that need them
Develop and maintain customer categorisation frameworks and target account lists for the sales and partnerships teams
Produce data-led reporting and insights that support decision-making across the Prolific for Research leadership team

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development.
In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role
We operate a hybrid go-to-market model spanning product-led growth, scaled customer success and a targeted direct sales motion and the person in this role needs to be comfortable across all of them.
experience in Revenue Operations, Sales Operations, or Business Operations in a high-growth B2B technology company Demonstrated
experience supporting go-to-market models that include product-led growth alongside, or instead of, a traditional sales motion
Strong hands-on HubSpot administration skills, including workflow design, custom properties, and CRM architecture
Confidence working with data: you can collaborate with data teams, interpret or write SQL, and build models that stakeholders trust and use •
The ability to operate effectively as a sole practitioner: you're as comfortable executing as you are advising