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4 months ago

Forward Deployed Engineer - ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Forward Deployed ML Engineer to partner with the sales team, lead technical discovery with enterprise customers, and design compelling ML/AI infrastructure solutions. You’ll present demos, address security and integration concerns, and act as the technical voice in enterprise deals, collaborating with product and engineering to map customer feedback into the roadmap.

Location: San Francisco, Stockholm, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience working with AI applications
•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
•2+ years professional software engineering experience

Experience:2+ yearsAIEnterprise softwareSaaS

Skills:PresentationCommunicationCustomer-facingNegotiationProblem-solving

Tech Stack:ServerlessContainersML infrastructureGPUMLOps

Company Brief

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Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.

Industry: Cloud Computing

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: New York City, United States

Founded: 2021

Website LinkedIn

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Modal

4 months ago

Forward Deployed Engineer - ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco, Stockholm, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience working with AI applications
•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
•2+ years professional software engineering experience

Experience:2+ yearsAIEnterprise softwareSaaS

Skills:PresentationCommunicationCustomer-facingNegotiationProblem-solving

Tech Stack:ServerlessContainersML infrastructureGPUMLOps

Company Brief

Modal

Industry: Cloud Computing

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: New York City, United States

Founded: 2021

Website LinkedIn