180K–220K USD / year

Technical Product Marketing Manager

MarketingHybrid — San Francisco, New York
Published on 2026-10-29
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Own product positioning, technical messaging, launches, competitive insights, and sales enablement across Baseten’s AI inference, Model APIs, training, and platform products. Translate technical capabilities into credible narratives and go-to-market materials for engineers, technical buyers, and executives.

About the company

Baseten is an inference cloud that helps companies run and scale AI models in production with flexible infrastructure and developer tooling.

The team

GTM, Marketing, Product Marketing

What you'll do

  • Develop positioning and messaging across Baseten’s product lines, keeping claims accurate and aligned with the platform narrative.
  • Plan product and capability launches and create launch assets such as landing pages, technical blog posts, demos, decks, and FAQs.
  • Analyze competitors and customer feedback to refine positioning and recommend product or marketing improvements.
  • Create battlecards, talk tracks, objection-handling guides, and product training for Sales and Solutions teams.

What we're looking for

  • 4+ years in product, technical, or developer marketing, including 2+ years marketing to developers or technical buyers.
  • Strong technical writing skills, with samples demonstrating the ability to explain complex topics clearly.
  • Technical fluency and ability to learn concepts such as inference, autoscaling, fine-tuning, and open- versus closed-weight models.
  • Experience conducting competitive analysis and using findings to shape positioning, messaging, or sales strategy.
  • Experience launching technical products and owning both marketing strategy and execution.
  • Experience working at a fast-moving startup with multiple stakeholders and changing priorities.

Nice to have

  • Experience with AI/ML infrastructure, inference, model serving, or model training and post-training.
  • Experience marketing to ML engineers, platform engineers, infrastructure leaders, or technical executives.
  • Competitive positioning experience involving cloud providers, inference providers, model API companies, or internal platforms.
  • Background in solutions engineering, product management, developer relations, technical writing, or AI/infrastructure research.

Benefits

  • Meaningful equity.
  • 100% medical, dental, and vision coverage for U.S. employees and dependents.
  • Flexible PTO and company-wide winter break.
  • Paid parental leave.
  • Fertility and family-building stipend through Carrot.
  • Company-facilitated 401(k) for U.S. employees.
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