技术营销工程师及撰稿人
Technical Marketing Engineer and Writer
想向世界展示如何构建AI基础设施？想指导新的云建设者如何设计、构建和运营AI云网络？更进一步，想构建一个AI助手来帮你完成这些工作吗？如果你有网络工程背景，并且喜欢在记录和演示技术时讲述精彩的故事，那么这份工作正适合你。
作为Hedgehog的首位技术营销工程师，你将在一家快速发展的开源公司中，定义这一关键职位职能，该公司正在引领AI网络领域。短期内你将：
解释Hedgehog产品，制作2-3分钟的YouTube视频，涵盖以下主题：
- Hedgehog虚拟私有云服务
- Hedgehog控制平面
- Hedgehog数据平面
- Hedgehog零接触配置
- Hedgehog网络可观测性
- Hedgehog网络故障排除
- Hedgehog软件更新
为潜在客户进行Hedgehog产品的现场演示。
同时担任技术作家，改进我们工程团队的技术文档。改进内容包括快速入门指南、教程、实验练习、背景信息、术语表以及能够说明软件工程细节的上下文内容。
训练Hedgehog虚拟助手，通过将你的技术文档和营销材料输入到检索增强生成（RAG）系统中，用于开源大语言模型（LLM）。
引导潜在客户进行虚拟实验室练习，让他们可以评估你在视频和发现通话中演示的产品功能。
协助潜在客户设计、规划和确定他们的AI云基础设施。
协助潜在客户将基础设施编写为代码，实施GitOps，并将Hedgehog集成到他们的GitOps流程中。
明确Hedgehog与我们的合作伙伴和竞争对手之间的定位。
处理客户异议，并使用Hubspot为SDRs建立异议处理手册。
撰写关于AI网络主题、Hedgehog功能和Hedgehog客户故事的博客文章。
培训Hedgehog的新销售团队以及我们的GTM合作伙伴，教他们如何在AI云基础设施解决方案中定位Hedgehog。
要求：
- 计算机科学、数据科学、电子工程或相关专业的学士或研究生学位。
- 在云计算网络行业有工作经验，或对云计算网络概念（如VPC、BGP EVPN、VXLAN、NAT、DHCP）有深入理解。
查看英文原文
Want to show the world how to build AI infrastructure? Want to guide new cloud builders on how to design, build and operate AI cloud networks? Better yet, want to build an AI assistant that does this for you? If you have a network engineering background and you enjoy telling good stories while documenting and demonstrating technology, this is the job for you.
As Hedgehog's first Technical Marketing Engineer, you will play a key role in defining this critical job function at a fast growing open source company leading the AI Network category. In the short term you will:
Explain the Hedgehog product producing 2-3 minute YouTube videos covering a range of topics including:
- Hedgehog Virtual Private Cloud service
- Hedgehog Control Plane
- Hedgehog Data Plane
- Hedgehog Zero Touch Provisioning
- Hedgehog Network Observability
- Hedgehog Network Troubleshooting
- Hedgehog Software Updates
Demonstrate the Hedgehog product live for prospective customers.
Wear a second hat as a technical writer improving technical documentation from our engineering team. Improvements include tech writing best practices for a quick start guide, tutorials, lab exercises, background information, glossary, and context that frames the software engineering details.
Train a Hedgehog virtual assistant to answer customer questions by feeding your technical documentation and marketing material into Retrieval Augmented Generation (RAG) for an open source Large Language Model (LLM).
Guide prospective customers through virtual lab exercises so they can evaluate the same product features that you demonstrate in videos and discovery calls.
Assist prospective customers in designing, planning and scoping their AI cloud infrastructure.
Assist prospective customers in documenting their infrastructure as code, implementing Gitops, and integrating Hedgehog into their Gitops process.
Position Hedgehog relative to our partners and competitors.
Handle customer objections and build objection handling playbooks for SDRs using Hubspot.
Write blogs on AI network topics, Hedgehog capabilities, and Hedgehog customer stories.
Train new sellers at Hedgehog and our GTM partners on how to position Hedgehog in AI cloud infrastructure solutions.
Requirements:
- Bachelor's or Graduate's Degree in computer science, data science, electronics, or engineering.
- Industry experience with cloud networking and/or a strong understanding of cloud networking concepts like VPC, BGP EVPN, VXLAN, NAT, DHCP, ZTP, SDN, RoCEv2, ECN, PFC
- Strong technical writing skills demonstrated by a reference portfolio
- Strong oral communication with a gift to simply explain complex technical concepts with stories that non-technical people can easily understand
- Basic video editing skills
Bonus:
- Degree (or equivalent) in Computer Science, Computer Engineering, or a related technical field
- Curious nature and desire to tinker: you want to pull things apart to see how they work
- Love of new and emerging technologies
- Ability to distill complicated ideas to just the right number of words
- Experienced with technical writing using Markdown and Material for MkDocs
- Experience with AI/ML models
- Experience with open source software
- Experience in embedded or network engineering, technical support, product testing, or QA
Hedgehog Benefits
- World-class team
- Fun culture
- Engaging and interesting engineering problems
- Competitive salary
- Startup equity
- Health Insurance (Medical, Dental, Vision)
- Unlimited time off
- Work from home (fully remote - we don't care where you are; we care about what you can do)
- Laptop, IT equipment
About Hedgehog
AI needs a new network. Hedgehog is the AI network. AI developers need new cloud infrastructure with high performance compute that trains and tunes generative AI models quickly and efficiently. They need ultra-low latency for AI inference so users get a human experience. Traditional cloud networks lack the congestion control and adaptive routing required to minimize AI job completion time. AI cloud builders find current reference architectures expensive and difficult to operate because they require specialized network engineers from a very limited number of vendors. Hedgehog delivers a high performance AI network that reduces AI job completion time up to 35% with flow scheduling and buffer management for congestion control and adaptive routing. Our low latency cloud network is multi-tenant for so that many teams can tune models, and many people can use model. A Hedgehog cloud network is easy to operate. If you know how to use AWS, Azure to Google Cloud, you can run a Hedgehog cloud. And you can build a Hedgehog AI cloud at reasonable cost with open source software, white box hardware from a wide selection of vendors, and fully automated operations with your existing team.
Originally posted on Himalayas