Senior Product Marketing Manager, Sales Enablement (AI & Research)
New
P
ProlificAI and research
Location: Remote, USFull-TimeManager
Salary170,000 - 200,000 USD per year
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Job Details
- Experience
- 6+ years in an enablement-facing role
Requirements
- Have 6+ years in an enablement-facing role such as product marketing, sales enablement, or competitive intelligence at a B2B company.
- Have experience enabling sellers across more than one product or product line at a startup, scale-up, or enterprise.
- Have gathered data and insights directly and turned them into materials that sellers use.
- Show measurable enablement results in win rate, ramp time, or deal velocity, including evidence of who used the resources and what changed.
- Have hands-on experience conducting buyer interviews, including interviews with lost buyers about actual past behavior.
- Be comfortable analyzing CRM and call-intelligence data, building analyses or business cases, and defending conclusions.
- Write clearly and concisely for busy readers.
- Have credibility with sellers and senior leaders and the ability to influence sales, product, and customer success without managing them.
Responsibilities
- Build and own sales enablement across AI and research, including onboarding, ongoing training, launch readiness, and a single source of truth for reps.
- Audit existing enablement resources, decide what to retain, and establish a process for keeping resources current.
- Build and maintain the sales toolkit, including pitch narratives, decks, one-pagers, discovery guides, battlecards, objection handling, white papers, and business-case tools.
- Design and run the win-loss program, combining buyer interviews with CRM and call data and delivering regular readouts to leadership.
- Coordinate outreach for AI buyer interviews to prevent duplicate requests to buyers.
- Own competitive intelligence on data labelling vendors, research panel providers, and in-house alternatives, including competitor pricing and positioning.
- Translate findings into changes to talk tracks, discovery questions, or pricing recommendations, and measure their effects.
- Develop customer case studies, a library of proof points, a reference program, and customer advocacy through quotes, reviews, and speakers.
- Attend sales calls weekly and report deal-level evidence about feature gaps, blockers, and pricing friction to product, ranked by revenue impact.
- Define and report win rate, competitive win rate, deal velocity, rep ramp time, and content usage; work with RevOps to improve CRM loss-reason and competitor fields.
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