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Technical Product Marketing Manager

Technical Product Marketing Manager

CompanyPinecone
LocationSan Francisco, CA, USA, New York, NY, USA
Salary$155000 – $225000
TypeFull-Time
Degrees
Experience LevelSenior

Requirements

  • 5+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company.
  • Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases.
  • Proven track record in launching technical products and driving adoption in enterprise and developer communities.
  • Ability to translate complex technical concepts into clear, compelling messaging for different audiences.
  • Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams.
  • Excellent written and verbal communication skills.

Responsibilities

  • Develop launch plans for product releases, align with product teams, and manage GTM execution.
  • Lead core launch teams with cross-functional members (documentation, communications, developer relations, product, growth marketing, etc).
  • Measure customer impact and adoption post-launch, iterating on strategies as needed.
  • Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions.
  • Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors.
  • Develop and maintain positioning for new product capabilities.
  • Partner with customers to develop case studies, gathering business impact metrics and architectural insights.
  • Engage in customer interviews and research to refine messaging and identify key value drivers.
  • Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions.
  • Collaborate with marketing to create social posts, blogs, and technical content.

Preferred Qualifications

  • Experience in developer marketing or working directly with AI/ML practitioners.
  • Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies.
  • Knowledge of cloud infrastructure and AI model deployment.