Product Technical Marketing Manager
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 11H AGO
InfrastructureonsiteMid-Senior$160k–$190k
At a glance
Highlights
- Translate RDU architecture and inference advances into clear market narratives.
- Build demos, collateral and enablement for agentic and long-running workloads.
- Partner with product and engineering to support launches and field enablement.
What they offer
- Equity
- 95% employee medical premium coverage and 77% for dependents
- Health Savings Account (HSA) with employer contribution
- Dental and Vision insurance
- Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance
- Flexible Spending Account (FSA) options
- Headspace subscription, Gympass+ and One Medical membership
- Employee Assistance Program counseling services
Ideal candidate
You are a technical storyteller at heart who loves turning complex AI hardware into clear narratives. Scrappy and high-ownership, you thrive in ambiguity and enjoy partnering across engineering, product, and field teams.
Requirements
- 3–8 years of experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, developer marketing, or related role
- Strong technical fluency in semiconductors, accelerators, AI infrastructure, datacenter systems, or inference workloads
- Ability to understand and communicate hardware tradeoffs for large-model inference in a technically credible way
- Proven ability to create customer-facing or field-facing technical content, demos, presentations, training materials, or educational assets
- Strong cross-functional instincts and ability to work effectively with engineering, product, sales, and customer-facing teams
- Scrappy, startup-oriented mindset with comfort operating in ambiguity and high-ownership environments
Lab profile
About SambaNova
Full-stack AI infrastructure with RDU dataflow chips for fast agentic inference.
What they build
- RDU Reconfigurable Dataflow Unit
- SambaRack rack-scale hardware
- Full-stack AI inference platform
Known for
- Reconfigurable dataflow architecture alternative to GPUs
- High decode performance for agentic workloads
- Full-stack hardware-software co-design
Key facts
- Founded in 2017
- Headquartered in Palo Alto, California