Technical Product Marketing Manager
Company | Pinecone |
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Location | San Francisco, CA, USA, New York, NY, USA |
Salary | $155000 – $225000 |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
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.