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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.

180k – 250kNew York, NYSan Francisco, CAML EngineeringOnsite2+ YOE
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About the role

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 ApplicationsML InfrastructureMLOpsServerless ComputingContainer PlatformsModel TrainingInferencePythonKubernetesDocker

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