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

Responsibilities

• Own positioning and messaging for frontier labs and enterprise AI teams, including where the two share a story and where each needs its own
• Work with product on the offerings and solution sets for each type of buyer
• Run positioning interviews with AI customers and prospects, coordinated with the win-loss programme so no buyer is asked twice, and turn what you hear into changes to messaging, product, pricing and packaging
• Lead enablement on strategic lab and enterprise AI pursuits: build the deal narrative and executive briefings with our AEs, and join calls where a technical buyer needs to be taught something new
• Build the repeatable playbook for taking Prolific into a new AI segment, and make the case, with evidence, for which enterprise use cases and industries we go after next
• Plan and run launches for capabilities aimed at AI teams, from positioning brief and launch tiering through to sales readiness, which you deliver with the Revenue and Enablement PMM
• Own the AI category point of view against competitors, drawing on our competitive intelligence programme, and track how labs and enterprises are changing the way they buy human data
• Produce content that researchers and AI leads actually read: a clear point of view on human data and evals, technical explainers and data quality evidence, plus customer stories from strategic accounts for the shared proof library
• Represent Prolific at research venues and at enterprise AI events, and with lab partners
• Report pipeline influenced and progress on strategic AI accounts to sales and leadership, using the shared win-rate reporting

Requirements

• 6+ years in product marketing or a close GTM role (solutions, partnerships, technical sales) at a B2B technical company, with the right subject-matter depth.
• You’ve brought an AI product to market and positioned it to a technical buyer. You understand what it takes to build an AI product and how it depends on human data
• Direct exposure to frontier labs or enterprise AI teams: you’ve sold to them, partnered with them, bought human data as an AI-native company, or worked inside one on post-training, evaluation or data. You don’t need to have worked inside a lab
• Enough fluency in SFT, RLHF, preference data, evals and red-teaming to hold your own with a researcher at a leading lab, then explain it to an enterprise buyer who has never run an eval
• Positioning work you can point to that changed a sales outcome, with numbers
• Clear, plain writing. You can explain a technical product to a researcher and to a CFO in the same week
• You use AI to speed up your own work, and you’ve built workflows beyond chat for research synthesis, competitive tracking or first drafts. You can describe exactly how they work
• Comfort working without a playbook in a company that’s moving quickly into new segments