Principal Technical Product Marketing Manager
AI Platform & InferenceLocation US Remote
Reports to: SVP, Corporate Marketing
The OpportunityAI inference is moving out of the lab and into the real world - at the edge, in datacenters, and in hybrid deployments customers are actually building. The economics, the topologies, and the buyers are all changing. Blaize is at the center of that shift.
We are looking for a Principal Technical Product Marketing Manager to own how the world understands our platform. This is a senior IC role at the intersection of product, engineering, and GTM. You will own the technical narrative for Blaize's AI Services and hybrid GSP+GPU platform - translating sophisticated silicon, software, and systems into clear, differentiated value for cloud service providers, system integrators, enterprises, and sovereign customers.
This is not a role for someone who wants to maintain the status quo. You will help redefine how a public AI infrastructure company tells its story during a category-defining transition from chip vendor to platform company.
What You'll Do - 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.
About You - 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.
Strong Candidates May Have - 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.
