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 builds AI infrastructure products that developers love. That's how we grew so quickly. Word-of-mouth remains one of our most important channels today, and we're looking to hire the first few developer relations engineers who will be able to help scale this out. From banger tweets to in-depth technical resources to long-form talks, we want to meet developers through any medium and empower them to ship novel AI products.
In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also be a trusted resource for them when it comes to implementing new AI technologies.
In this role, you will:
Ship high-quality technical content (videos, cookbooks, integrations, creative mini-apps) that helps developers see the value of Modal for various AI use cases.
Distill the latest open-source advancements in AI technology and educate developers on how to incorporate them.
Give demos/talks about Modal and adjacent AI technology at developer events.
Engage with users in our community, both online (X, Reddit, Slack) and at in-person events.
Embed yourself in the AI ecosystem. Build relationships, integrations, and joint marketing activities with other developer-focused AI companies (including model and framework builders).
Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on.
We are looking for someone who:
Has 3+ years experience as a software engineer, with at least 1 year experience as an ML engineer.
Is energized by the AI developer community and wants to help developers adopt new technologies.
Loves teaching.
Has excellent technical communication skills.
Is metrics-driven and takes quantitative approaches to prioritizing initiatives.
Is excited about working in-person in the SF office.
Bonus: you're not afraid to think outside the box when it comes to compelling technical content.
Bonus: you already have a developer following on social media!
Top Skills
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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