About the role
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role: We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary and LLM Engine Advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. In this role you will: Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content. Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents. Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation. Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable.
Requirements: Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience. Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal. You can build polished, responsive web experiences without needing every detail specified. Business-owner mindset with strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement and tradeoff inherent to each. Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers. Ability to work in-person in our NYC office.
Nice to have: Deep knowledge of SEO, AEO, structured content, or agentic discoverability. Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company. Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest. Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby. Experience designing growth experiments, A/B tests, or funnel instrumentation. A portfolio of polished sites, docs systems, interactive demos, or growth experiments.
About Modal Labs
Modal is a serverless cloud infrastructure platform designed for running artificial intelligence, machine learning, and data processing workloads using code-based configuration. The company provides an environment where developers deploy functions for inference, training, batch processing, and data pipelines without managing servers or manual infrastructure setup. It offers GPU access and CPU resources that automatically scale based on workload demand, supporting applications such as large language model inference, model fine-tuning, and high-throughput computation tasks. Modal includes sandbox environments that execute isolated code for testing, evaluation, and agent-based workflows. The platform also integrates observability features that allow monitoring of logs, execution states, and performance metrics across workloads. It supports multi-cloud GPU scheduling and dynamic resource allocation to optimize compute availability across regions. Modal is used by teams building AI applications that require flexible compute scaling, low-latency execution, and simplified deployment workflows.
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Job details
Salary
$150,000 - $300,000
Location
New York, NY
Funding
Total raised
$111M
Last stage
Growth
Investors
Founders
Akshat Bubna
CTO and Co-Founder
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.