6 дней назад
Product Technical Marketing Manager (AI Infrastructure)
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Technical Marketing Manager (AI Infrastructure): Building technical messaging, presentations, demos, collateral, and enablement content for AI infrastructure and inference use cases with an accent on hardware tradeoffs, accelerator architecture, and customer-facing technical storytelling. Focus on explaining memory bandwidth, interconnect, quantization, throughput versus latency, cost-per-token tradeoffs, and benchmarking for large-model inference.
Location: San Jose, California, United States
Salary: $160,000–$190,000 USD base salary per year
Company
develops a full-stack generative AI platform spanning specialized chips, models, on-premises deployments, and cloud delivery for enterprise and government organizations.
What you will do
- Build technical messaging, presentations, demos, collateral, and enablement content for AI infrastructure and inference use cases.
- Explain hardware and inference concepts, including memory bandwidth, interconnect, quantization, throughput versus latency, and cost-per-token tradeoffs.
- Partner with product, engineering, developer relations, sales, solutions, and field teams to create technically accurate and commercially useful narratives.
- Support product launches, customer conversations, benchmarking discussions, and technical field enablement.
- Translate product and architecture details into customer, partner, and seller education materials.
- Collect market and field feedback to improve positioning, proof points, and educational content.
Requirements
- 3–8 years of experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, developer marketing, or a related role.
- Strong technical fluency in semiconductors, accelerators, AI infrastructure, datacenter systems, or inference workloads.
- Ability to communicate hardware tradeoffs for large-model inference with technical credibility.
- Experience creating customer-facing or field-facing technical content, demos, presentations, training materials, or educational assets.
- Strong cross-functional collaboration skills across engineering, product, sales, and customer-facing teams.
- Comfort operating with ambiguity in high-ownership, startup-oriented environments.
Nice to have
- Experience with 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 technical teaching through blog posts, talks, demos, documentation, LinkedIn content, or similar channels.
- Experience supporting sales enablement, partner enablement, developer education, or community education.
- Bay Area experience or interest in working closely with a Bay Area team.
Culture & Benefits
- Full-time US employment with base salary, equity, and benefits.
- Medical insurance with 95% employee premium coverage and 77% dependent premium coverage.
- Health Savings Account with employer contribution, plus dental, vision, disability, life, AD&D, and flexible spending account options.
- Well-being benefits including Headspace, Gympass+, One Medical, and counseling through an Employee Assistance Program.
- Equal Opportunity and Affirmative Action workplace.
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