Modal

Staff-level Brand Designer shaping Modal’s visual identity across web, campaigns, editorial, events, and out-of-home experiences. The role requires 7+ years of brand design experience with technically complex products, strong craft in typography and composition, and the ability to build scalable brand systems.

Build automated detection, investigation, and incident-response systems for a cloud-native platform. The role requires strong software engineering, security incident investigation, cloud infrastructure, Kubernetes, Linux, networking, and SQL experience, with opportunities to apply LLMs to security operations.

Own the full revenue operations function at high-growth AI infrastructure company Modal, building lead routing, CRM workflows, pipeline dashboards, territory strategy, forecasting, and commission administration in close partnership with sales, marketing, and finance leadership.

Lead and scale Modal's enterprise sales team as a sales manager. Own complex deal cycles, coach account executives, build playbooks and processes to drive strategic revenue growth in the AI infrastructure space.

PhD research intern role focused on advancing reinforcement learning, machine learning, and foundation models. Work on large-scale training, optimization, inference, long-context tasks, and improving efficiency, reliability, and robustness for real-world AI deployments.

Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.

Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.

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.

Leads an experienced systems engineering team while contributing technically to distributed computing, cloud infrastructure, and performance optimization. The role requires 10+ years of industry experience, leadership experience, and strong systems-level expertise.

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.

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.

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.

This customer-facing technical role partners with sales teams to design, demonstrate, and implement AI/ML infrastructure solutions for enterprise customers. It requires 5+ years of solutions or sales engineering experience, strong cloud and container expertise, and the ability to guide complex migrations and evaluations.

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.