About Us

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 https://modal.com/blog/announcing-our-series-b at a $1.1B valuation. Our investors include Lux Capital https://www.luxcapital.com/, Redpoint Ventures https://www.redpoint.com/, Amplify Partners https://www.amplifypartners.com/, and Elad Gil https://eladgil.com/.

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 https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role

• Partner with Account Executives to identify, qualify, and close strategic enterprise opportunities
• Lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements
• Design and present compelling technical solutions that demonstrate how Modal addresses customer needs
• Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
• Conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities
• Navigate complex technical evaluations and address security, compliance, and integration concerns
• Build trusted advisor relationships with technical decision-makers including CTOs, VPs of Engineering, and ML Engineering leads
• Collaborate with product and engineering teams to communicate customer feedback and influence product roadmap
• Support contract negotiations by providing technical expertise on implementation timelines, resource requirements, and success metrics

Requirements

• 5+ years of experience in solutions engineering, sales engineering, or customer-facing technical roles
• Deep hands-on experience with cloud platforms (AWS, GCP, Azure) including compute, storage, networking, and managed services
• Strong knowledge of containerization technologies (Docker, Kubernetes, container orchestration)
• Experience with databases (SQL/NoSQL), data pipelines, and distributed systems architecture
• Understanding of ML/AI infrastructure challenges including model training, inference, and MLOps workflows
• Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines
• Proven track record of supporting enterprise software sales cycles ($100K+ ACV)
• Exceptional presentation and communication skills with ability to explain complex technical concepts to both technical and business audiences
• Strong business acumen with understanding of enterprise buying processes and procurement
• Experience building migration strategies and implementation roadmaps for large-scale infrastructure changes
• Ability to work effectively with cross-functional teams including sales, product, and engineering
• Experience selling or implementing serverless computing, container platforms, or ML infrastructure solutions preferred
• Willingness to travel up to 30% for customer meetings and industry events
• Ability to work in-person in our Stockholm office