Forward Deployed ML Engineer
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
About the job
Responsibilities
- 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
- 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
- Experience working with AI applications (ideally some cool examples you want to demo!)
- Understanding of ML/AI infrastructure challenges including model training, inference, and MLOps workflows
- 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 selling or implementing serverless computing, container platforms, or ML infrastructure solutions preferred
- 2+ years professional software engineering experience
- Willing to work in-person in New York City, San Francisco or Stockholm
Skills
Ai Applications, ML Infrastructure, MLOps, Serverless Computing, Container Platforms, Model Training, Inference, Python, Kubernetes, Docker
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