Product Marketer

CleraSan Francisco, CA
Onsite

About The Position

A fast-growing enterprise AI platform company is looking for a Product Marketer to sit at the intersection of product and market. You'll translate frequent product releases into clear positioning, compelling stories, and sales-ready materials — playing a central role in how customers and prospects understand the platform's capabilities as both the product and category evolve.

Requirements

  • 3+ years in product marketing, with a track record of delivering go-to-market for software features and releases.
  • Proven experience owning end-to-end go-to-market planning and execution across multiple channels.
  • Ability to explain technical products clearly to non-technical audiences — you don't need to be an engineer, but you can participate meaningfully in product reviews.
  • Excellent, clear writing skills: clarity over cleverness, always.
  • Habit of conducting customer research — conversations, support ticket reviews, and sales call attendance — to inform messaging.
  • Regular use of AI tools for research, drafting, and content synthesis as part of your everyday workflow.
  • A bias toward owning problems end-to-end rather than waiting for briefs.
  • Collaborative, kind approach to teammates and customer-facing stakeholders.

Nice To Haves

  • Experience targeting German enterprise IT markets (German Mittelstand).
  • Comfort being on camera or participating in public-facing demos and presentations.

Responsibilities

  • Own go-to-market plans for every meaningful product release and execute them across the right channels.
  • Turn product releases into compelling narratives that explain why new features matter to buyers.
  • Develop and maintain positioning that differentiates the product for different buyer personas and markets, including enterprise IT leaders and AI leads.
  • Create clear product content: comparison pages, capability overviews, one-pagers, and campaign explainers.
  • Work directly with customers, support tickets, and sales calls to surface what users value most.
  • Enable sales and customer success with framing, materials, and answers to difficult product questions.
  • Help define category positioning for enterprise AI as the market and product continue to evolve.
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