Solutions Engineer (AI/ML)

TL;DR

Solutions Engineer (AI/ML): Lead technical evaluations, demonstrations, and proof-of-concept deployments of the Domino platform for enterprise customers with an accent on integration with data science workflows, compliance, and complex IT environments. Focus on designing solution architectures, accelerating sales cycles, and ensuring smooth handoffs to deployment.

Location: Remote US

Salary: $200,000–$250,000 USD (OTE)

Company

We build software that helps AI-driven organizations develop and operate data science and AI solutions at scale, serving customers like Johnson & Johnson, GSK, and UBS.

What you will do

• Lead technical evaluations and demonstrations of the Domino platform for enterprise customers across industries
• Design and execute proof-of-concept deployments tailored to customer environments and workflows
• Collaborate with account executives to craft solution architectures meeting security and compliance standards
• Develop reusable demonstration environments and technical assets to accelerate sales
• Drive post-POC adoption readiness and handoff to Customer Success and Solutions Architects

Requirements

• Proven success in pre-sales or solutions engineering for enterprise software or AI/ML platforms
• Experience with enterprise customers, procurement, compliance, and security environments
• Track record leading technical evaluations or pilots resulting in multimillion-dollar deals
• Experience 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
• Understanding of end-to-end AI lifecycle from experimentation to production

Culture & Benefits

• Diverse, growth-minded team valuing truth-seeking, continuous improvement, and being your whole self
• Equity, company bonus or sales commissions, 401(k) plan, medical/dental/vision benefits, wellness stipends
• Environment of teaching and learning to support success