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

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

Team: Marketing

Prolific

Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.

The role

This is a brand new role, and you’ll be the first person to own AI product marketing at Prolific.

AI teams depend on human data to train, evaluate and red-team their models. As models improve, that data gets harder to get: specialist expertise, verified identities, fast turnaround and quality that holds up when a research team audits it. Prolific gives frontier labs and enterprise AI teams access to a network of verified people to do this work. We started in academic research in 2014, and that’s where our quality bar comes from.

You’ll own how Prolific is positioned to AI buyers in two segments: frontier labs, and the enterprises and AI-native companies building their own evals and post-training pipelines. They buy for different reasons. A lab post-training lead needs data their researchers trust enough to train on. An enterprise AI lead needs an agent they can put into production. You’ll decide what we say to each, which accounts we win first, and make sure sales can say it without you in the room.

You’ll spend real time with researchers, eval teams and enterprise AI leads, and you’ll be the person internally who knows what each of them cares about this quarter. You’ll show up to customer meetings with our account executives and solutions engineers and lead enablement on our strategic lab and enterprise AI pursuits. Our Revenue and Enablement PMM owns the sales toolkit, training and win-loss programme that every other deal runs on. There’s no playbook to inherit, so you’ll build it.

What you’ll bring to the role

- 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

What you’ll be doing in the role

- 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 br