Technical Product Marketing Manager

The role asks for someone who can quickly learn technical products like inference, model APIs, and training platforms, then write clear positioning and launch materials for engineers and buyers. A strong candidate brings several years of product marketing experience, especially marketing to developers or technical audiences, and can show writing samples that make complex topics understandable. They also need hands-on competitive analysis skills and the ability to work with product, engineering, and sales teams to turn technical details into credible stories. How it fits the AI eraAI changes the work by making it easier to draft and iterate on messaging, but the core task remains understanding how inference products actually behave and why they matter to technical buyers. The role stays human because it requires judgment about which technical claims are accurate, which competitive differences are real, and how to frame a story that engineers trust and buyers act on. AI tools can speed up research and drafting, but the person still needs to talk to customers and sellers to grasp objections and buying criteria. How it builds AI experienceWorking at Baseten means gaining direct exposure to inference, model serving, and training workflows that power AI companies, which builds practical knowledge of how AI models are deployed and scaled. Someone in this role would learn to compare inference providers and model APIs, and to translate technical tradeoffs into positioning that resonates with ML engineers and platform teams. That experience is valuable for future roles in AI product marketing, developer marketing, or competitive strategy. Worth showingTechnical writing samples Competitive analysis track record Launch planning execution Inference and model serving fluency This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About BasetenHigh-performance cloud inference platform for deploying, serving, and scaling open-source and custom artificial intelligence models.