Product Marketing Manager (Dedicated Inference)

Join Baseten, a leading AI-native company, as a Product Marketing Manager. In this role, you will own the positioning and messaging for Baseten's dedicated inference and platform capabilities. You will translate complex technical concepts into clear narratives for various audiences, partner with Product and Engineering to understand the technical architecture and customer value, and build and execute launch plans for major capabilities. You will also collaborate with various teams to turn product capabilities into pipeline-generating campaigns and enterprise deal support. This is a remote-first position with a range of benefits, including unlimited PTO, full healthcare coverage, and a learning and development budget.

• Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities.
• Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences.
• Build messaging that is technically credible without being overly implementation-focused or generic, and create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points.

• Track record building launch strategies and GTM plans for platform products, infrastructure products, or technical capabilities with long enterprise sales cycles
• Experience translating complex technical products into clear, differentiated positioning for both technical practitioners and enterprise decision-makers
• Excellent storytelling skills, with the ability to make technical infrastructure feel concrete, credible, and commercially urgent
• 6+ years in product marketing, technical marketing, developer marketing, or a related GTM role, ideally at an infrastructure, developer tools, cloud, data, or AI company
• Strong technical fluency and the ability to quickly ramp on infrastructure concepts like autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization
• Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems
• Experience marketing products to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives
• Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms