Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.
We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil
Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
We’re looking for a Security Field Engineer to own how we represent and defend our security posture externally. This role sits at the intersection of security, engineering, and go-to-market, and is critical to building customer trust and accelerating deals.
You will work directly with customer security teams, translate our architecture and controls into clear, credible narratives, and ensure that what we present externally reflects how our systems actually operate.
This is a hands-on, technical role, not just documentation. You will identify patterns in customer requirements and drive improvements in both our product and security posture.
Customer Security Engagement
Lead technical security conversations with customers and prospects
Respond to security reviews, deep-dive calls, and architecture discussions
Clearly explain our systems, controls, and tradeoffs to sophisticated security teams
Deal Enablement & Trust
Partner with Sales and GTM to unblock deals and accelerate security approvals
Own responses to complex security questionnaires and RFPs
Build credibility with customer security stakeholders through clear, consistent communication
Security Representation
Own and evolve customer-facing security materials (trust center, whitepapers, architecture docs)
Ensure external messaging accurately reflects internal systems and controls
Continuously improve how we communicate security to reduce friction and ambiguity
Engineering Partnership
Identify recurring customer requirements and gaps in our security posture
Work with engineering to prioritize and implement meaningful improvements
Translate customer expectations into concrete, actionable technical changes
Tooling & Process
Improve how we handle inbound security reviews (automation, knowledge base, workflows)
Evaluate and implement tools to scale customer security interactions
Core Experience
Experience in security engineering, security GRC, or solutions engineering in a technical product company
Strong experience engaging with customer security teams or supporting enterprise sales
Technical Strength
Solid understanding of modern cloud architectures (AWS/GCP/Azure), APIs, and distributed systems
Ability to explain security controls (auth, isolation, encryption, logging, etc.) in real systems
Comfortable going deep with engineers and equally comfortable explaining concepts to customers
Execution & Ownership
Highly responsive and action-oriented—able to operate in deal-critical timelines
Identifies patterns and drives improvements, not just one-off answers
Strong written and verbal communication skills
Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs.
Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.
