Partnerships Product Marketing Manager

Baseten powers mission-critical inference for the world's most dynamic AI companies, and they are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of their partner ecosystem. The role involves shaping partner narratives, creating impactful content, and enabling joint go-to-market programs with leading technology companies.

Responsibilities:

• Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions
• Translate technical integrations into clear, differentiated messaging for both technical and business audiences
• Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions
• Create sales playbooks and battlecards tailored to each partner’s ecosystem
• Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities
• Manage partner marketing calendars and ensure alignment with key product milestones
• Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives
• Serve as the marketing point-of-contact for the partnerships team

Requirements:

• 5–7 years of experience in product marketing, partner marketing, or related roles in B2B technology
• Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus
• Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats
• Strong program management skills with the ability to handle multiple partners and campaigns simultaneously
• Technical curiosity and ability to quickly learn new technologies and ecosystems
• Comfortable working in a fast-paced, high-growth environment
• Familiarity with developer ecosystems, APIs, and modern software development practices
• Strong knowledge of AI/ML infrastructure, model serving, and performance optimization concepts