Product Technical Marketing Manager

Reposted One Month Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
160K-190K Annually
Mid level
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
SambaNova is the #1 platform for business AI.
The Role
Create technical messaging, demos, collateral, and enablement for AI infrastructure and inference use cases. Translate hardware and architecture details into customer- and field-facing materials, support launches and benchmarking, and partner with product, engineering, sales, and field teams to refine positioning and technical proof points.
Summary Generated by Built In

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.

Skills Required

  • 3-8 years experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, or developer marketing
  • Strong technical fluency in semiconductors, accelerators, AI infrastructure, datacenter systems, or inference workloads
  • Ability to understand and communicate hardware tradeoffs for large-model inference (memory bandwidth, interconnect, quantization, throughput vs. latency, cost-per-token)
  • 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; comfortable operating in ambiguity and high-ownership environments
  • 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, or 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
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The Company
HQ: Palo Alto, CA
500 Employees
Year Founded: 2017

What We Do

AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.

Why Work With Us

As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.

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