About the job
We are seeking an experienced Product Marketing Manager with a strong background in engaging developer audiences and delivering impactful go-to-market programs for native AI and enterprise companies. This role requires someone who is both technically savvy and strategic, with a proven track record of crafting compelling product narratives and building marketing assets that resonate with technical decision-makers. This role is specifically focused on our post-training offerings at Baseten. We’re looking for someone who has experience in and is ready to learn more about all things post-training.
Responsibilities
- Positioning & Messaging: Develop clear and differentiated messaging that articulates the value of Baseten’s inference platform to developers and enterprise customers.
- Narrative Development: Shape how the market thinks about closed-to-open weights models and post-training ROI.
- Go-to-Market Strategy: Own the launch process for new features and products, collaborating closely with product, engineering, sales, and growth teams.
- Content Development: Create high-quality marketing assets, including white papers, technical blogs, demos, and customer case studies.
- Sales Enablement: Build resources and programs that empower our sales teams to effectively communicate Baseten’s capabilities and benefits
- Market Insights: Understand the fast-moving AI market and build competitive and market analysis to inform product positioning strategies.
Qualifications
Minimum
- 3–8+ years of experience in product marketing, preferably in developer tools, cloud infrastructure, or SaaS.
- Proven success creating technical product marketing content and campaigns targeting developer audiences.
- Working understanding of the LLM landscape: post-training, open-weight and closed models, training techniques.
- Excellent written and verbal communication skills, with the ability to simplify complex concepts.
- Technically adept and comfortable 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.
- Worked at a fast-moving startup and can adjust quicklyAbility to thrive in a dynamic, fast-paced environment with multiple stakeholders.
Preferred
No preferred qualifications listed.