AI Field Engineer at Modal

New York, New York, United States

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$180,000 – $240,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

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
Based in or willing to relocate to New York, Stockholm, or San Francisco

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
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

Skills

Key technologies and capabilities for this role

AWSGCPAzureServerlessAI/MLContainersProof-of-ConceptsSecurityComplianceTechnical Sales

Questions & Answers

Common questions about this position

What is the salary range for the AI Field Engineer position?

The salary range is $180K - $240K.

Is this role remote or onsite?

The position is onsite.

What skills are required for this AI Field Engineer role?

Required skills include 5+ years in solutions engineering or sales engineering, deep hands-on experience with cloud platforms like AWS, GCP, Azure, strong knowledge of containerization (Docker, Kubernetes), experience with databases, data pipelines, distributed systems, ML/AI infrastructure, and familiarity with Infrastructure as Code and CI/CD.

What is the company culture like at Modal?

Modal is a small, fast-growing team based in New York, Stockholm, and San Francisco, with members including creators of open-source projects, academic researchers, olympiad medalists, and experienced leaders; it offers opportunities to grow within the company as one of the fastest-growing AI infrastructure organizations.

What makes a strong candidate for this Field Engineer role?

A strong candidate has a proven track record of supporting enterprise software sales and 5+ years in customer-facing technical roles, with deep expertise in cloud platforms, containerization, ML/AI infrastructure, and the ability to design solutions and conduct demos.

Modal

Employee training and skill development platform

About Modal

Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$30.8MTotal Funding

EARLY_VCCompany Stage

Consulting, EducationIndustries

51-200Employees