# Enterprise Solutions Engineer

**Company:** [Domino](https://hotfix.jobs/companies/domino-data-lab)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $200k – $250k/yr
**Experience:** 5+ years
**Skills:** Python, R, Docker, Kubernetes, AWS, Azure, GCP, Machine Learning
**Posted:** 2026-06-04

> Pre-sales technical role leading evaluations, POCs, and solution architecture for Domino's AI/ML platform with enterprise customers. Requires proven pre-sales engineering experience, Python/R/ML proficiency, and knowledge of containers, cloud, and complex IT environments.

## Job Description

## Impact
- Lead technical evaluations and demonstrations of the Domino platform for Enterprise customers in a multitude of industry verticals
- Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure
- Collaborate with account executives to craft solution architectures that meet industry-specific security and compliance standards
- Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles
- Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment

Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key prospect accounts

## Requirements
- Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms (equivalent solution engineering tasks internally or as a consultant developer could work)
- Experience with Enterprise customers, understanding their procurement processes, compliance constraints, and security environments
- Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise software deals
- Experience working in complex IT environments, including hybrid or air-gapped systems
- Proficiency in Python, R, and modern data science / machine learning tools
- Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and networking concepts
- Understanding of the end-to-end AI lifecycle, from experimentation to production

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**Apply:** https://hotfix.jobs/jobs/229f4291-9370-4ea7-81ab-3e20f8757a83
**Canonical:** https://hotfix.jobs/jobs/229f4291-9370-4ea7-81ab-3e20f8757a83