Technical Product Marketing Manager (AI)

Location: Hybrid in San Francisco or New York, United States

Salary: $180K–$220K annually, plus equity

Company

Baseten provides inference infrastructure, model APIs, training and post-training capabilities, and developer tooling for AI companies bringing models into production.

What you will do

• Own positioning and messaging for inference, Model APIs, training and post-training, and the core platform for ML engineers, platform teams, and executive buyers.
• Partner with Product and Engineering to understand architecture, tradeoffs, roadmap, and technical accuracy.
• Build and run launches for products and major capabilities, choosing between full launches, documentation, sales enablement, and targeted customer outreach.
• Create messaging briefs, landing pages, technical blog posts, demo storylines, sales decks, one-pagers, FAQs, and campaign materials.
• Track competitors across inference providers, model API companies, hyperscalers, and internal platforms, and turn findings into positioning recommendations.
• Build battlecards, competitive talk tracks, objection-handling guides, and product training with Sales and Solutions.

Requirements

• 4+ years 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 skills, with samples demonstrating the ability to explain dense technical topics clearly without oversimplifying them.
• Technical fluency and the ability to read documentation, ask engineers specific questions, and learn concepts such as inference, autoscaling, fine-tuning, and open- versus closed-weight models.
• Hands-on competitive analysis experience, including comparing products in depth and using findings to change positioning, messaging, or deal strategy.
• Ability to learn unfamiliar products and markets quickly and move between them.
• Experience launching technical products or capabilities and deciding what to launch and how.
• Ability to own both strategy and execution, including landing pages, decks, one-pagers, and written content.
• Experience at a fast-moving startup and comfort working with multiple stakeholders and shifting 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.
• Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.
• Adjacent experience in solutions engineering, product management, developer relations, technical writing, or AI or infrastructure research.

Culture & Benefits

• Meaningful equity and competitive compensation.
• Hybrid work in San Francisco or New York.
• U.S. employees and dependents receive 100% coverage of medical, dental, and vision insurance.
• Flexible PTO, company-wide Winter Break, paid parental leave, and a fertility and family-building stipend through Carrot.
• U.S. employees receive access to a company-facilitated 401(k).
• Exposure to ML startups and opportunities for learning and networking.