Support Engineer

Reposted 14 Days Ago
4 Locations
In-Office
120K-170K Annually
Mid level
Machine Learning • Generative AI
The Role
The Support Engineer will assist customers by responding to inquiries, troubleshooting technical issues, and collaborating with engineering teams while improving support documentation and user experience.
Summary Generated by Built In
About Us:

Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.

We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit high 8-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.

Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

Modal is looking for a Support Engineer to be the voice of our customer experience. As our user base grows rapidly, we need someone who can provide exceptional support to developers building the next generation of AI applications. You will:

  • Respond to customer inquiries via email, chat, and support tickets in a timely and helpful manner

  • Troubleshoot technical issues related to Modal's platform, Python environments, and deployment workflows

  • Guide users through documentation, tutorials, and best practices for using Modal

  • Escalate complex technical issues to engineering teams while providing clear context and reproduction steps

  • Maintain and improve our knowledge base, FAQs, and support documentation

  • Track common support requests and work with product teams to identify opportunities for platform improvements

  • Monitor community channels (Slack, Reddit, etc.) and provide helpful responses to user questions

  • Collaborate with sales and customer success teams to ensure smooth customer onboarding

  • Help identify and communicate customer feedback to inform product roadmap decisions

Requirements:
  • 3-5 years of customer support or technical support experience, preferably with developer-facing products

  • Strong written communication skills with ability to explain technical concepts clearly and patiently

  • Basic technical background with familiarity in Python, command line tools, and web technologies.

  • Experience with ticketing systems, knowledge bases, and support workflows

  • Customer-first mindset with genuine interest in helping developers succeed

  • Any of the following would be a plus:

    • Understanding of cloud platforms, APIs, or developer tools

    • Basic familiarity with containerization, serverless computing, or ML/AI workflows

    • Experience supporting SaaS or infrastructure products

    • Knowledge of Git, package management, or deployment processes

    • Knowledge of Go or TypeScript, our official SDK languages

Top Skills

APIs
Cloud Platforms
Command Line Tools
Git
Go
Python
Typescript
Web Technologies
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The Company
HQ: New York City, New York
50 Employees

What We Do

Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs.

Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.

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