People Operations Generalist
Own end-to-end employee lifecycle operations and build scalable People processes at a fast-growing AI infrastructure startup. Requires 2+ years of People Ops experience, preferably in high-growth environments.
Serverless AI infrastructure platform
Modal builds a serverless cloud platform for running AI, ML, and data workloads with sub-second cold starts and instant scaling to thousands of GPUs. It serves developers and data teams building generative AI inference, LLM fine-tuning, biotech, and media processing apps. The code-first approach eliminates infrastructure management, enabling pay-per-use compute.
Own end-to-end employee lifecycle operations and build scalable People processes at a fast-growing AI infrastructure startup. Requires 2+ years of People Ops experience, preferably in high-growth environments.
Modal is seeking a Community Manager to build and grow its AI developer community through meetups, hackathons, and events. This role involves co-hosting events, sponsoring hackathons, managing webinars, and creating engaging content to foster community growth and engagement.
Own and grow Modal's presence in academia and research by managing the Modal for Academics program, building relationships with professors and researchers, and identifying sponsorship opportunities. This role requires a strong understanding of academic research and excellent communication skills.
Growth Engineer responsible for building and instrumenting Modal's marketing site, docs, landing pages, and interactive web experiences. Strong frontend craft, product taste, and data-driven mindset required for onsite NYC role.
Designs and secures core infrastructure for multi-tenant AI platform, focusing on container isolation, orchestration (Kubernetes), identity management, secrets handling, and cloud security across AWS/GCP. Requires production experience in cloud-native systems and builder mindset for hands-on implementation.
Hands-on Security GRC Specialist owning compliance frameworks like SOC 2 and ISO 27001, driving audits, customer trust initiatives, and engineering collaborations to implement scalable security controls. Requires 3-7+ years experience with technical mindset in cloud environments.
Develops product positioning, messaging, and launch strategies targeting AI/ML engineers and technical buyers. Crafts copy across platforms, optimizes distribution, enables sales with collateral, and drives content like case studies in a PLG-to-enterprise environment. Requires 5+ years in developer tools/AI marketing.
Leads procurement and strategy for GPU/CPU capacity across hyperscalers, neoclouds, and datacenters. Evaluates suppliers, negotiates contracts, and advises leadership on market trends, requiring deep AI infra knowledge and commercial skills.
Build and optimize ML training systems for production-scale language models using PyTorch and frameworks like Hugging Face. Requires 5+ years experience in high-performance code and training optimizations; onsite in NYC or SF.
Build and scale finance function from scratch for fast-growing AI infrastructure company, including FP&A, budgeting, fundraising support, and strategic partnering. Requires 10+ years finance experience with 3-5 in senior leadership at high-growth tech firms.
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
Drive technical strategy for enterprise accounts, partnering with sales to close large deals. Architect migrations to serverless AI infrastructure, lead POCs, and influence product roadmap. Requires 5+ years in solutions engineering and deep cloud/ML expertise.
Hands-on engineering manager leading experienced engineers on distributed computing, large-scale data, and performance optimization. Requires 10+ years experience including 3 in leadership, with deep systems expertise.
Business Operations Manager drives quantitative analyses for pricing, supports deal desk and finance functions, implements GTM tools, and handles ad-hoc projects in a high-growth AI startup. Requires 5+ years business experience, tech exposure, and in-person NYC work.
Define and implement reliability systems for a growing AI cloud infrastructure platform, including architectural improvements, operational processes, monitoring, and incident response. Requires 5+ years production coding and 2+ years on-call experience with strong cloud skills.
Backend engineer building developer tools for AI infrastructure at scale, focusing on new workflows for LLMs and diffusion models. Requires full-stack experience with Python, TypeScript, ClickHouse, and onsite work in NYC or SF.
Own end-to-end recruiting for sales, GTM, and G&A roles at a fast-growing AI infrastructure company. Partner with leaders to set hiring standards, source top talent, and deliver exceptional candidate experiences.
Forward Deployed Engineer partners with AI companies to architect and deploy large-scale production workloads on Modal's serverless platform, leading technical discovery, migrations from AWS/GCP/Azure, and demos. Requires 3+ years software engineering with cloud, containers, and distributed systems expertise.
Builds technical support for AI/ML workloads by shipping code, automating fixes, and directly assisting customers with debugging and optimization. Requires deep expertise in low-level infrastructure or AI/ML engineering with strong communication skills.
Owns full sales cycle for enterprise deals with AI companies, generating pipeline, closing large deals, running POCs, and expanding accounts. Requires 7-10+ years enterprise sales experience exceeding $1M quotas, technical acumen in AI/infrastructure, and onsite work.
Creates and distributes technical content to educate developers on AI advancements and Modal's infrastructure. Engages communities online and at events, builds partnerships, and tracks GTM impact. Requires 3+ years software engineering experience and strong communication skills.
Develops high-quality Python SDK libraries and tools to enhance developer productivity for AI infrastructure. Requires 5+ years Python experience, async programming knowledge, strong product sense, and onsite work in NYC.
Creates and distributes technical content like videos, cookbooks, and demos to teach developers about Modal Sandboxes for AI code execution and agentic systems. Requires 3+ years software engineering with ML/LLM experience and strong community engagement skills.
Engineers optimize ML systems for performance at scale, focusing on GPU utilization, inference engines, and container runtime to boost throughput and reduce latency for language and diffusion models. Requires 5+ years experience with PyTorch, CUDA, and performance debugging.
Designs, builds, and maintains high-performance distributed systems for a serverless AI platform. Requires 5+ years experience in production code, large-scale systems, cloud, OS foundations, and performance optimization; onsite in NYC.