Product Technical Marketing Manager

Join SambaNova, a leading AI infrastructure company, as a Product Technical Marketing Manager. In this role, you will bridge the gap between product, engineering, and go-to-market strategies. You will create technical messaging, presentations, demos, and collateral for AI infrastructure and inference use cases. You will also partner closely with various teams to develop narratives that are both technically accurate and commercially useful. The ideal candidate has strong technical fluency in semiconductors, accelerators, AI infrastructure, and datacenter systems, with 3-8 years of experience in technical product marketing or a closely related role.

• Construire des messages techniques, des présentations, des démonstrations, des supports et du contenu de formation pour les cas d'utilisation de l'infrastructure et de l'inférence en IA.
• Expliquer clairement des concepts complexes liés au matériel et à l'inférence, y compris la bande passante mémoire, l'interconnexion, la quantification, le débit par rapport à la latence.
• Collaborer étroitement avec les équipes produit, ingénierie, relations développeurs, ventes, solutions et terrain pour développer des récits techniquement précis et commercialement utiles.
• Strong technical fluency in semiconductors, accelerators, AI infrastructure, datacenter systems, or inference workloads
• 3–8 years of experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, developer marketing, or a closely related role
• Proven ability to create customer-facing or field-facing technical content, demos, presentations, training materials, or educational assets
• Scrappy, startup-oriented mindset with comfort operating in ambiguity and high-ownership environments
• Strong cross-functional instincts and the ability to work effectively with engineering, product, sales, and customer-facing teams
• Ability to understand and communicate hardware tradeoffs for large-model inference in a technically credible way
• Experience in AI/ML infrastructure, GPU or accelerator ecosystems, datacenter hardware, or performance-sensitive systems
• Hands-on familiarity with benchmarking, workload optimization, proof-of-concepts, or technical competitive positioning
• Public teaching signal such as blog posts, talks, demos, documentation, LinkedIn content, or other technical communication
• Experience supporting sales enablement, partner enablement, or developer and community education
• Bay Area-based or excited to work closely with a Bay Area team