Product Marketing Manager – AI Security

Remote [within the US]Full-TimeManager
Salary not disclosed
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Job Details

Experience
5+ years of experience
Required Skills
CybersecuritySaaS

Requirements

  • Bachelor’s degree in Marketing, Business, Computer Science, Engineering, or related field.
  • 5+ years of experience in product marketing, preferably in cybersecurity, AI/ML, SaaS, or enterprise software.
  • Strong understanding of cybersecurity principles and/or AI/ML concepts.
  • Experience launching technical products in emerging or category-creating markets.
  • Demonstrated ability to craft differentiated positioning and messaging frameworks.
  • Experience developing sales enablement and competitive intelligence materials.
  • Excellent written and verbal communication skills with the ability to simplify complex technical topics.
  • Ability to collaborate cross-functionally across Product, Engineering, Threat Research, Sales, and Marketing.
  • Analytical mindset with the ability to interpret market data and customer insights.

Responsibilities

  • Shape and amplify HiddenLayer’s market narrative in the rapidly evolving AI security landscape.
  • Translate deep technical capabilities into differentiated messaging and compelling stories to drive awareness, demand, and product adoption.
  • Develop and refine product positioning and messaging that clearly articulates HiddenLayer’s differentiation in AI security.
  • Own end-to-end go-to-market strategy for new product launches and feature releases.
  • Create compelling sales tools including pitch decks, battlecards, one-pagers, solution briefs, and objection-handling guides.
  • Conduct ongoing competitive analysis and track emerging players in AI security, MLOps, and cybersecurity.
  • Support analyst relations by developing briefing materials and participating in analyst inquiries.
  • Contribute thought leadership content including blogs, whitepapers, webinars, and conference messaging.
  • Partner with Customer Success and Sales to gather customer feedback and validate messaging.
  • Develop case studies and customer stories that highlight measurable impact and business value.
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