Modal

<h2>About Us:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/lovable-case-study">Lovable</a>, <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal">Ramp</a>, 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/modal-series-c">Series C</a> 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.,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/mwaskom/seaborn">Seaborn</a>,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/spotify/luigi">Luigi</a>), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.<h2>The Role:</h2>We're looking for a People Operations Generalist to join our growing People team. You'll touch the employee lifecycle end-to-end — from offer acceptance through offboarding — while helping to build the processes and documentation that let our People function scale with the business.This is a great fit for a highly organized, systems-oriented people person who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them.What you’ll do<ul><li>Own and continuously improve the new hire onboarding experience, ensuring employees are set up for success and internal tasks are tracked and completed on time.</li><li>Serve as a first point of contact for employee questions across the full HR spectrum, triaging and routing more complex issues to the right People team member or external partner.</li><li>Maintain and improve self-service resources (FAQs, Notion pages, etc.) so employees can find what they need quickly — and always feel supported even when no one's in the room.</li><li>Support rollouts of new People programs and policies, including communication planning, manager enablement, and documentation.</li><li>Help bring employee experience programs and events to life, from team offsites to milestone recognition, that reinforce culture and make people feel valued.</li><li>Process employee changes (promotions, equity refreshes) accurately and on time, including preparing updated employment letters and maintaining compliant employee files.</li></ul><h2>Requirements:</h2><ul><li>2+ years of People Operations experience, preferably at a high-growth startup.</li><li>Demonstrated ability to build and document HR processes from the ground up, not just execute existing ones.</li><li>Strong written communication: you write clearly, keep things simple, and know your audience.</li><li>Experience managing employee data with accuracy and discretion.</li><li>Comfortable handling competing priorities without losing track of the details.</li></ul>

People Operations Generalist

<h2>About Us:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/lovable-case-study">Lovable</a>, <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal">Ramp</a>, 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/modal-series-c">Series C</a> 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.,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/mwaskom/seaborn">Seaborn</a>,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/spotify/luigi">Luigi</a>), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.<h2>The Role:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/gpu-glossary">GPU Glossary</a> and <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/llm-almanac/advisor">LLM Engine Advisor</a> 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.<h2>In this role you will:</h2><ul><li>Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content.</li><li>Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents.</li><li>Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation.</li><li>Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable.</li></ul><h2></h2><h2>Requirements:</h2><ul><li>Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience.</li><li>Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal.</li><li>You can build polished, responsive web experiences without needing every detail specified.</li><li>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.</li><li>Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers.</li><li>Ability to work in-person in our NYC office.</li></ul><h2>Nice to have:</h2><ul><li>Deep knowledge of SEO, AEO, structured content, or agentic discoverability.</li><li>Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company.</li><li>Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest.</li><li>Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby.</li><li>Experience designing growth experiments, A/B tests, or funnel instrumentation.</li><li>A portfolio of polished sites, docs systems, interactive demos, or growth experiments.</li></ul>

Member of Technical Staff - Product (Growth)

<h2>About Us:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/lovable-case-study">Lovable</a>, <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal">Ramp</a>, 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/modal-series-c">Series C</a> 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.,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/mwaskom/seaborn">Seaborn</a>,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/spotify/luigi">Luigi</a>), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.<h2>The Role:</h2>We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you!<h2>Requirements:</h2><ul><li>5+ years of experience writing high-quality, high-performance code.</li><li>Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).</li><li>Familiarity with Nvidia GPU architecture and CUDA.</li><li>Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc).</li><li>Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc). </li></ul>

Member of Technical Staff - ML Performance

<h2>About Us:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/lovable-case-study">Lovable</a>, <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal">Ramp</a>, 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/modal-series-c">Series C</a> 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.,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/mwaskom/seaborn">Seaborn</a>,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/spotify/luigi">Luigi</a>), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.<h2>The Role:</h2>We're hiring a Compute Strategy and Operations lead to own how Modal plans for and acquires GPU and CPU capacity. You'll size our infrastructure needs ahead of demand, source supply across hyperscalers, neoclouds, and datacenter operators, and negotiate and close the contracts to secure it. The compute you secure directly determines what Modal can sell and build. In this role, you will:<ul><li>Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators</li><li>Build and maintain a strong pipeline of supplier relationships</li><li>Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms</li><li>Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms</li><li>Work closely with our engineering teams to translate technical requirements into procurement specs</li><li>Track market pricing, availability trends, and supplier dynamics, and serve as a trusted advisor to leadership on infrastructure procurement decisions</li></ul><h2>Requirements:</h2><ul><li>Fluency in the AI infrastructure landscape: hyperscalers, neoclouds, and the broader GPU supply market</li><li>Technical understanding of what you're buying: GPU architectures (NVIDIA H100/H200/B200, etc.), networking (InfiniBand vs. RoCE, fabric topology), and SLA structures</li><li>Strong commercial instincts. You know how to find leverage, structure a deal, and close it</li><li>Ability to work cross-functionally with finance and engineering teams on commercial terms and technical requirements</li></ul>

Compute Strategy & Operations Lead

<h2>About Us:</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/lovable-case-study">Lovable</a>, <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal">Ramp</a>, 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://modal.com/blog/modal-series-c">Series C</a> 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.,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/mwaskom/seaborn">Seaborn</a>,<a target="_blank" rel="noopener noreferrer ugc" href="https://github.com/spotify/luigi">Luigi</a>), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.<h2>The Role:</h2>We are looking for strong engineers with experience training production machine learning models. If you are interested in contributing to open-source projects and evolving Modal's infrastructure to train the next generation of language models, we'd love to hear from you!<h2>Requirements:</h2><ul><li>5+ years of experience writing high-quality, high-performance code.</li><li>Experience working with torch and high-level training frameworks (Huggingface, verl, slime)</li><li>Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks, overlapping communications with compute, rewriting a trainer to handle off-policy rollouts, etc.)</li><li>Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).</li><li>Ability to work in-person, in our NYC or San Francisco office.</li><li>Ability to participate in on-call rotation and respond to production incidents.</li></ul>

Modal

Open jobs at Modal

People Operations Generalist

Member of Technical Staff - Product (Growth)

Member of Technical Staff - ML Performance

Compute Strategy & Operations Lead

Member of Technical Staff - ML Training Systems

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