Solutions Engineer - Data Integration & Onboarding (Remote)

c968050c-15a9-468b-acaf-b26b765aff76; Idaho Falls (ID); Remote; USD 85,000 - 140,000; Full time

Benefits offered by this job

Health benefits

401k matching

Internet or cell phone subsidy

Generous PTO and heritage/special days

Half Day Summer Fridays

Diversity & inclusion initiatives

Job summary

Foureyes is a remote-first software company serving automotive dealerships. We seek a Solutions Engineer to bridge Sales, Product, and Implementation, ensuring customer use cases are technically validated and successfully implemented.

You will own onboarding, data pipelines, and warehouse connectivity, collaborating with Data Science and Engineering to validate data ingestion and schemas, while leading documentation and enablement efforts.

Qualifications

• 2+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting.
• Experience with SaaS data integration, APIs, workflow automation (N8N, Zapier, Make), and cloud data warehousing.
• Strong understanding of data structures, ETL processes, and customer data systems (CRM, DMS, website, inventory).
• Excellent problem-solving, project management, and client communication skills.

Responsibilities

• Pre-Sales & Solution Design: identify customer use cases and lead product demonstrations.
• Implementation, Data Integration & Warehousing: onboard customers and ensure integrations meet use cases.
• Cross-Functional Collaboration: align with Sales, Product, and Customer Success on scope and outcomes.
• Documentation, Enablement & Team Leadership: maintain playbooks and train teams.

Skills

SaaS data integration

APIs

Workflow automation

ETL processes

Data structures

CRM/DMS knowledge

Client communication

Project management

Tools

N8N

Zapier

Make

Job description

Foureyes is a remote-first software company serving automotive dealerships. We seek a Solutions Engineer to bridge Sales, Product, and Implementation, ensuring customer use cases are technically validated and successfully implemented.

You will own onboarding, data pipelines, and warehouse connectivity, collaborating with Data Science and Engineering to validate data ingestion and schemas, while leading documentation and enablement efforts.