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Hedgehog Development is seeking a Technical Marketing Engineer to define and enhance AI cloud networking solutions. The role involves creating engaging content, improving documentation, and training customers. Join a dynamic team focused on innovative AI infrastructure and enjoy competitive benefits including unlimited time off and remote work options.
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 so many teams can tune models, and many people can use the models. A Hedgehog cloud network is easy to operate. If you know how to use AWS, Azure, or Google Cloud, you can run a Hedgehog cloud. You can also build a Hedgehog AI cloud at a reasonable cost using open source software, white box hardware from a wide selection of vendors, and fully automated operations with your existing team.
Job Description
Are you passionate about building AI infrastructure? Do you want to guide new cloud builders in designing, building, and operating AI cloud networks? Or perhaps you want to build an AI assistant to do this for you? If you have a network engineering background and enjoy storytelling, 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 function at a fast-growing open source company leading the AI Network category. In the short term, you will:
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 best practices for quick start guides, tutorials, lab exercises, background information, glossaries, and contextual framing of 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 to evaluate product features demonstrated in videos and discovery calls.
Assist prospective customers in designing, planning, and scoping their AI cloud infrastructure.
Help customers document their infrastructure as code, implement GitOps, and integrate Hedgehog into their GitOps processes.
Position Hedgehog relative to our partners and competitors
Handle customer objections and develop objection handling playbooks for SDRs using Hubspot.
Write blogs on AI network topics, Hedgehog capabilities, and customer stories.
Train new sellers at Hedgehog and our GTM partners on positioning Hedgehog in AI cloud solutions.
Qualifications
Requirements:
Bonus:
Additional Information