Forward Deployed Engineer - Systems
Modal Labs, Inc. operates Modal, a serverless cloud and AI infrastructure platform for developers running inference, training, batch processing, and isolated sandboxes.
Funding history
About Modal
Modal provides code-first, elastic CPU/GPU compute infrastructure for AI workloads, including model inference, fine-tuning and training, large-scale batch jobs, and secure ephemeral execution environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead technical discovery, design and present solutions, and develop migration paths to a serverless platform. You will conduct demos and proof-of-concepts, address security and integration concerns, support contract negotiations, and communicate customer feedback to product and engineering stakeholders.
Requirements
- 5+ years of solutions engineering, sales engineering, or customer-facing technical experience
- Cloud platform experience with AWS, GCP, or Azure
- Containerization knowledge including Docker and Kubernetes
- Database, data pipeline, and distributed systems architecture experience
- ML and AI infrastructure knowledge
- Infrastructure as Code knowledge including Terraform, Pulumi, or CloudFormation
- CI/CD pipeline familiarity
- Enterprise software sales cycle experience
- Presentation and communication skills
- Enterprise buying process and procurement knowledge
- Migration strategy and implementation roadmap experience
- Willingness to travel up to 30%
- Ability to work in person in the Stockholm office
Responsibilities
- Partner with Account Executives to identify, qualify, and close enterprise opportunities
- Lead technical discovery sessions with prospective customers
- Design and present technical solutions
- Architect cloud migration paths to a serverless platform
- Conduct technical demos, experiments, and proof-of-concepts
- Address security, compliance, and integration concerns
- Build trusted advisor relationships with technical decision-makers
- Communicate customer feedback to product and engineering teams
- Support contract negotiations with technical expertise