5 months ago
Base Salary
$150k - $300k/yr
Responsibilities
- Own and evolve Modal’s marketing site, docs site, and technical web experiences as high-quality engineering systems.
- Build bespoke interactive projects that turn deep technical work into useful web experiences for developers and agents.
- Instrument public-facing content, including human-facing marketing pages and agent-targeted documentation.
- Improve internal publishing flows so teams can ship quality content quickly while maintaining site quality.
- Partner with Product Engineering, Design, Data, and Growth to ship polished, measurable pages, documentation experiences, campaigns, and experiments.
Requirements
- Evidence of building and shipping modern web applications end-to-end; demonstrated work matters more than years of experience.
- Experience with agentic development flows in which agents consume marketing content and documentation to help developers build on Modal.
- Ability to build polished, responsive web experiences with limited specification.
- Business-owner mindset with strong data intuition around conversion, activation, developer trust, launch speed, measurement, and tradeoffs.
- Interest in developer-facing AI infrastructure and credible web experiences for engineers.
- Ability to work in person in Modal’s NYC office.
- Preferred familiarity with SEO, AEO, structured content, agentic discoverability, marketing or documentation sites, product-led-growth surfaces, growth experiments, A/B tests, funnel instrumentation, or polished web and documentation projects.
- Preferred familiarity with Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX, Sanity, Playwright, Vitest, Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, and Ashby.
Benefits
- In-person work in the NYC office is required.
- Opportunity to join an early-stage, fast-growing AI infrastructure company with opportunities for growth.
Tech Stack
Categories
FrontendGrowth Engineering
About Modal
Modal builds a serverless compute platform for AI and data workloads, offering instant GPU access, sub-second container starts, and native storage to run inference, fine-tuning, and batch jobs. It sells a usage-based cloud service to developers and ML teams to deploy generative models and pipelines. Privately held and headquartered in New York City, its customers include companies like DoorDash and Ramp.