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Baseten

Runs AI models for production software

Technical Product Marketing Manager

Product MarketingConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • At least 4 years of experience in product marketing, technical marketing, or developer marketing, including at least 2 years marketing to developers or technical buyers at an infrastructure, developer tools, cloud, data, or AI company.
  • Strong writing ability, with samples demonstrating the ability to explain dense technical topics clearly without oversimplifying them.
  • Technical fluency, including comfort reading documentation, asking engineers specific questions, and learning concepts such as inference, autoscaling, fine-tuning, and open- versus closed-weight models.
  • Hands-on competitive analysis experience, including comparing products in depth, forming a point of view, and using findings to change positioning, messaging, or sales approach.
  • Ability to learn unfamiliar products and markets quickly and move between them.
  • Experience launching technical products or capabilities, including deciding what to launch and how.
  • Ability to own both strategy and execution, including landing pages, decks, one-pagers, and written content.
  • Experience working at a fast-moving startup with multiple stakeholders and shifting priorities.

Responsibilities

  • Own positioning and messaging for Baseten products across inference, Model APIs, training and post-training, and the core platform, for ML engineers, platform teams, and executive buyers.
  • Work with Product and Engineering to understand architecture, tradeoffs, and roadmap, ensuring technical claims are accurate and grounded in actual product behavior.
  • Keep product-level messaging consistent with Baseten’s platform narrative so each product story supports the others.
  • Write technically credible messaging without excessive implementation detail.
  • Build and run launch plans for new products and major capabilities, from internal enablement through external announcement.
  • Decide whether a product or capability warrants a full launch or should be promoted through documentation, sales enablement, or targeted customer outreach.
  • Create launch assets, including messaging briefs, landing pages, technical blog posts, demo storylines, sales decks, one-pagers, and FAQs.
  • Partner with Demand Generation, Sales, Solutions, and Customer Marketing to turn product capabilities into campaigns and deal support.
  • Track competitors across inference providers, model API companies, hyperscalers, and internal do-it-yourself platforms, including their pricing, packaging, launches, and messaging.
  • Develop a point of view on where Baseten wins and loses and use it to sharpen positioning.
  • Speak with customers and sellers to understand buying criteria, objections, and deal blockers, and bring concrete recommendations to Product and Marketing.
  • Build battlecards, competitive talk tracks, objection-handling guides, and product training for sellers.
  • Work with Sales and Solutions to identify and close enablement gaps.

Desired Qualifications

  • 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.
  • Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.
  • Experience in an adjacent role such as solutions engineering, product management, developer relations, technical writing, or industry or equity research covering AI or infrastructure.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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