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 what matters most when building inference.
• 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.

Requirements

• 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.
• Familiarity with developer ecosystems, APIs, and modern software development practices.
• Worked at a fast-moving startup and can adjust 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 employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to 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, offering unparalleled learning and networking opportunities.