Principal Technical Product Marketing Manager

Blaize is a company that builds a programmable AI platform for inference in real-world environments. They are seeking a Principal Technical Product Marketing Manager to own the technical narrative for Blaize’s AI Services and hybrid GSP+GPU platform, translating complex technology into clear value propositions for various stakeholders.

Responsibilities:

• Own the technical narrative. Set positioning, messaging, and the technical story for Blaize AI Services, the hybrid GSP+GPU architecture, and use-case solutions across datacenter inference, smart city, industrial, mining, drones, and ruggedized edge
• Translate architecture to value. Distill silicon, systems, and software into customer-facing value for CSP architects, CTOs, system integrators, and enterprise buyers — including TCO and economics narratives that differentiate hybrid GSP+GPU from GPU-only stacks
• Build the technical asset library. Messaging frameworks, datasheets, reference architectures, technical whitepapers, demos, blogs, customer stories, competitive positioning, hyperscaler stacks, and emerging inference platforms
• Drive partner co-marketing. Lead the technical narrative for joint GTM with Nokia, cloud service providers, system integrators, and foundational model partners (frontier labs and open-weight ecosystems) — particularly across Asia-Pacific, Middle East, and sovereign deployments
• Equip the field. Build the sales enablement spine — battlecards, pitch decks, technical demos, objection handling, and training — for a sales team in transition from edge-only to datacenter inference
• Run launches end-to-end. Positioning, messaging, demos, customer references, blogs, executive talking points, analyst briefings, and conference moments
• Engage directly with customers, partners, and analysts as a trusted technical advisor — and bring field insight back to product and roadmap

Requirements:

• 8+ years of product marketing, technical marketing, or technical GTM in semiconductors, AI infrastructure, cloud platforms, or developer tools
• Deep technical fluency across modern AI stacks: inference vs. training, model serving, accelerators, GPU and non-GPU architectures, datacenter deployment, edge inference, and hybrid topologies
• Proven track record owning positioning and launch for technical platforms in competitive, fast-moving markets where the category itself is still being defined
• Comfortable in conversations with engineers, ML practitioners, solutions architects, and CTOs — and equally capable of translating those conversations into executive and investor narratives
• Strong storytelling and asset-creation skills across messaging, decks, blogs, technical whitepapers, demos, and web copy
• Experience partnering with cloud providers, system integrators, or strategic OEMs on joint GTM and co-marketing
• Cross-functional operator — fluent working with engineering, product, sales, partnerships, IR, and corporate communications
• BS/MS in Computer Engineering, EE, CS, or equivalent technical experience
• Direct experience marketing AI inference, accelerators, or AI infrastructure to CSPs, hyperscalers, or sovereign customers
• Background that bridges silicon/hardware PMM and software platform PMM — fluent on the chip-to-platform transition
• Exposure to computer vision, multimodal AI, or sensor applications in smart city, industrial, defense, or telecom verticals
• Experience working with foundational model providers or open-weight model ecosystems
• Familiarity with Asia-Pacific market dynamics (Southeast Asia, China, India)
• Public-company experience and comfort with investor-facing communications
• MBA a plus, not required