Modal에서 Forward Deployed Engineer를 채용합니다. 클라우드 인프라 및 컨테이너 기술에 대한 깊은 이해를 바탕으로 엔터프라이즈 고객의 기술 영업을 주도할 분을 찾습니다. 5년 이상의 경력이 필수이며, 고객의 인프라 마이그레이션 설계와 기술적 솔루션 제시를 담당합니다. AI 인프라의 미래를 함께 만들어갈 전문가의 많은 지원 바랍니다.
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 native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
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.
Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will:
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
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
