Product Marketing Manager

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Gretel

πŸ’΅ $165k-$200k
πŸ“Remote - United States, Canada

Job highlights

Summary

Join our team as a Product Marketing Manager to drive enterprise growth for our synthetic data platform and APIs.

Requirements

  • 3+ years of relevant product marketing experience with a developer-focused B2B SaaS product or services built and available in a public cloud
  • Experience leading product releases & launches and marketing Generative AI, machine learning (ML), and/or data tools to technical users and developers, especially co-marketing with cloud-service provider and AI infrastructure partners
  • Experience with product marketing at product-assisted and/or sales-influenced growth companies, especially with enterprise ABM campaigns
  • Excellent written and verbal communication skills for both internal and external audiences, ranging from business to technical
  • Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously

Responsibilities

  • Become a market expert - develop an understanding of synthetic data and developer workflows, how enterprises work with data, and how our products integrate with modern AI tech stacks
  • Serve as a consensus builder between teams to ensure the voice of the customer becomes a critical component of how we scale
  • Collaborate with product management and sales teams to define the go-to-market (GTM) strategy for new product launches and updates
  • Create sales enablement materials, including product guides, sales decks, and battlecards, to empower the sales team to effectively sell technical products
  • Define campaign messaging pillars and develop high-quality campaign content, such as whitepapers, case studies, technical documentation, webinars, and blog posts, that educate enterprise audiences and result in lead generation
  • Collaborate with strategic partners to drive joint marketing initiatives and co-marketing campaigns with large cloud providers and marketplace teams to accelerate co-selling

Benefits

  • Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate
  • Salary ranges are updated regularly using premium market data

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