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About This RoleAI processing…
About Us: 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 Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and n
Key Responsibilities
- 1Partner with Account Executives to identify, qualify, and close strategic enterprise opportunities
- 2Lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements
- 3Design and present compelling technical solutions that demonstrate how Modal addresses customer needs
- 4Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
- 5Conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities
- 6Navigate complex technical evaluations and address security, compliance, and integration concerns
- 7Build trusted advisor relationships with technical decision-makers including CTOs, VPs of Engineering, and ML Engineering leads
- 8Collaborate with product and engineering teams to communicate customer feedback and influence product roadmap
- 9Support 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
Perks & BenefitsTypical for this role
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