Product Technical Marketing Manager
About the Role
This role sits at the intersection of product, engineering, and go-to-market. You will help shape how SambaNova explains its technology to the market by turning complex technical ideas into usable narratives, content, and enablement. The right candidate is not a pure marketer — they are a technical translator and builder who is comfortable getting deep on AI inference, accelerators, workloads, and customer-facing technical storytelling.
Responsibilities
Build technical messaging, presentations, demos, collateral, and enablement content for AI infrastructure and inference use cases
Explain complex hardware and inference concepts clearly, including memory bandwidth, interconnect, quantization, throughput vs. latency, and cost-per-token tradeoffs
Partner closely with product, engineering, developer relations, sales, solutions, and field teams to develop narratives that are both technically accurate and commercially useful
Support launches, customer conversations, benchmarking discussions, and technical field enablement
Translate product and architecture details into materials that help customers, partners, and sellers understand why the platform matters
Collect market and field feedback to sharpen positioning, proof points, and educational content over time
What We’re Looking For
3–8 years of experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, developer marketing, or a closely 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 the 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
Preferred Qualifications
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
Base Salary Range:
Base Pay Range
$160,000—$190,000 USD