Senior Product Marketing Manager, AI (Frontier Labs & Enterprise)
Job Details
- Experience
- 6+ years in product marketing or a close GTM role
Requirements
- Have 6+ years in product marketing or a close go-to-market role, such as solutions, partnerships, or technical sales, at a B2B technical company.
- Have brought an AI product to market and positioned it to a technical buyer.
- Understand AI product development and its dependence on human data.
- Have direct exposure to frontier labs or enterprise AI teams through selling to, partnering with, buying human data as, or working inside one.
- Be fluent enough in SFT, RLHF, preference data, evaluations, and red-teaming to engage with researchers and explain the concepts to enterprise buyers.
- Have positioning work with evidence, including numbers, that changed a sales outcome.
- Write clearly and explain a technical product to both researchers and CFOs.
- Use AI to accelerate work and have built workflows beyond chat for research synthesis, competitive tracking, or first drafts.
- Be comfortable working without a playbook in a company moving quickly into new segments.
Responsibilities
- Own positioning and messaging for frontier labs and enterprise AI teams, including where they share a story and where each needs its own.
- Work with product on offerings and solution sets for each type of buyer.
- Run positioning interviews with AI customers and prospects and turn findings into changes to messaging, product, pricing, and packaging.
- Lead enablement on strategic lab and enterprise AI pursuits by building deal narratives and executive briefings with account executives and joining technical buyer calls.
- Build a repeatable playbook for taking Prolific into new AI segments and make evidence-based recommendations about enterprise use cases and industries.
- Plan and run launches for AI-team capabilities, from positioning briefs and launch tiering through sales readiness.
- Own the AI category point of view against competitors and track changes in how labs and enterprises buy human data.
- Produce content for researchers and AI leads, including a point of view on human data and evaluations, technical explainers, data quality evidence, and customer stories.
- Represent Prolific at research venues, enterprise AI events, and with lab partners; report pipeline influence and strategic AI account progress.