# Product Marketing Manager, Post-Training

**Company:** [Baseten](https://hotfix.jobs/companies/baseten)
**Location:** San Francisco, CA
**Role:** Product Marketing
**Salary:** $190k – $220k/yr
**Experience:** 3+ years
**Skills:** Product Marketing, Go-to-Market Strategy, LLMs, post-training, ai/ml infrastructure, Model Training, APIs, Developer Tools, Cloud Infrastructure, SaaS, Technical Writing, Competitive Analysis
**Posted:** 2026-08-12

> Leads positioning, messaging, launches, content, and sales enablement for AI inference and post-training offerings, targeting developers and enterprise customers. Requires 3–8+ years of technical product marketing experience and familiarity with LLMs, AI/ML infrastructure, APIs, and developer ecosystems.

## Job Description

## Responsibilities

- Develop clear, differentiated messaging articulating the value of an AI inference platform to developers and enterprise customers.
- Shape market narratives around closed-to-open-weight models and post-training return on investment.
- Own launches for new features and products in collaboration with product, engineering, sales, and growth teams.
- Create marketing assets including white papers, technical blog posts, demos, and customer case studies.
- Build sales-enablement resources and programs that help sales teams communicate product capabilities and benefits.
- Conduct competitive and market analysis to inform product-positioning strategies.

## Requirements

- **3–8+ years** of product marketing experience, preferably in developer tools, cloud infrastructure, or SaaS.
- Proven success creating technical product-marketing content and campaigns for developer audiences.
- Working understanding of the LLM landscape, including post-training, open-weight and closed models, and training techniques.
- Excellent written and verbal communication skills, with the ability to simplify complex concepts.
- Technical aptitude and comfort working with engineering teams to understand product capabilities.
- Knowledge of AI/ML infrastructure, model training, and post-training concepts.
- Familiarity with developer ecosystems, APIs, and modern software-development practices.
- Experience working at a fast-moving startup and adapting quickly.
- Ability to thrive in a dynamic, fast-paced environment with multiple stakeholders.

## Benefits

- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employees and dependents.
- Flexible PTO, including a company-wide winter break from Christmas Eve through New Year's Day.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups and related learning and networking opportunities.

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