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Hiring now · posted 1d ago General Full-time · Remote

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

at Prolific

$170,000–$200,000/yr

Salary range published by Prolific. Final pay depends on level and location.

Remote · United States Language: English Posted 11 Nov 2026

Senior Product Marketing Manager, AI (Frontier Labs & Enterprise) is a remote role at Prolific, paying $170,000–$200,000/yr, open to applicants in United States. Posted 11 Nov 2026, still open on 13 Nov 2026. Zekai lists it for free; the application goes to the employer's platform.

About this role

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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 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

 

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
For pay transparency, the base salary range for this full-time role in San Francisco or New York is $170,000-$200,000 per annum and negotiable for other states.



Links to more information on Prolific

Benefits 

External Handbook 

Website 

Youtube 

 

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

 

This is a remote role. Applicants must be located in: United States.

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. You apply on Prolific's own careers page. Zekai is not the employer and never charges you.
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What to know before you apply

Pay
This is a yearly figure, so it is closer to a full-time contract than a side gig. Check the expected weekly hours in the description before you apply.
Location
Only applicants located in United States can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
Credentials
The listing asks for 6+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is 1 day old. Projects can close once they have enough people, so it is worth applying while it is open.
How to stand out for sales teams
  • Mirror the job's own wording in your CV: reviewers and screening tools look for the skills listed above.
  • Show real work: a portfolio, GitHub, case study or numbers from past projects beats a long list of duties.
  • Show how you already use AI tools in your work. AI companies hire people who use their products well.
  • Apply early and follow up once, politely, if you hear nothing in two weeks.
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