Job description

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. 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 Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Requirements

Must-haves

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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision