Forward Deployed Engineer
Company: Modal (https://modal.com/)
Location: Stockholm
Type: On-site role, Full-time
Company: Modal (https://modal.com/)
Location: Stockholm
Type: On-site role, Full-time
About the company:
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. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.
They're a fast-growing team based out of Stockholm, NYC, and SF. They've hit high 8-figure ARR and recently raised a Series B at a $1.1B valuation. They have thousands of customers who rely on them for production AI workloads, including Lovable, Scale AI, Substack, and Suno.
Working at Modal means joining one of the fastest-growing AI infrastructure organisations at an early stage, with many opportunities to grow within the company. Their 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.
The role
This role sits at the intersection of engineering, product, and customers. You will work closely with Account Executives and the broader team, but your primary focus is technical: understanding complex infrastructure, designing robust solutions, and helping teams migrate and build on Modal. You will:
Work directly with customers (such as Lovable, Suno, and Mistral AI) to understand their existing infrastructure, constraints, and goals
Lead technical discovery sessions and translate real-world requirements into concrete architectures on Modal
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 me
We are looking for somebody who has
Several years of professional experience in engineering, solutions engineering, or other customer-facing technical roles
Strong systems and infrastructure fundamentals, including experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes/orchestration), serverless platforms, distributed systems, databases, data pipelines, and deployment workflows
Hands-on experience designing, operating, or migrating production infrastructure and modern developer environments
Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines
Experience with ML/AI infrastructure or MLOps workflows is a plus
Comfort working across teams and adapting explanations to different audiences
Strong problem-solving skills, good technical judgment, and ability to work independently while collaborating closely with sales, product, and engineering
Why join Modal?
Work on cutting-edge AI/ML infrastructure used by innovative startups and enterprise clients
Be part of a highly technical, ambitious, and supportive team
Influence product development and customer success at scale
Great learning opportunities and potential for career growth in a fast-growing company
Sound like a fit? We’d love to hear from you!
For more information or questions, contact zoe.lepluart@ninox-limited.com.