Product Marketing Manager, Post-Training

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.