Enterprise Sales Engineer (Data Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Enterprise Sales Engineer (Data Infrastructure): Designing and delivering technical solutions for large enterprise customers to automate data movement and transformation with an accent on modern data warehouse architectures and proof-of-value processes. Focus on uncovering functional requirements, securing technical wins, and implementing agentic AI use cases.
Location: Remote, must be based in the Southeastern US (VA, NC, SC, GA, FL). Willingness to travel 30%+ is required.
Salary: $158,010 — $246,890 USD
Company
and dbt Labs provide the data infrastructure layer that helps organizations move, transform, and trust their data for analytics and AI systems.
What you will do
- Partner with Enterprise customers to understand business requirements and develop prescriptive solution recommendations.
- Deliver value-based, technical solution demonstrations to enterprise audiences.
- Own and drive the structured proof-of-value process to secure technical wins.
- Collaborate with Product, Support, Customer Success, and Engineering teams to align solutions with customer needs.
- Manage the full customer lifecycle from pre-sale evaluation through product adoption and expansion.
- Stay current with the latest technologies and trends in the data infrastructure industry.
Requirements
- 4+ years of Enterprise solutions engineering experience driving end-to-end technical sales cycles.
- Hands-on experience with SQL, ELT, data modeling, analytics engineering, databases, or software development.
- Strong understanding of modern data warehousing architectures and the ability to discuss them with technical audiences.
- Must be based in the Southeastern US (VA, NC, SC, GA, FL).
- Excellent verbal, written, and in-person communication skills for both technical and non-technical personas.
Nice to have
- Knowledge or prior experience with dbt.
- Networking and security knowledge (private networking, VPC/PrivateLink, encryption, data governance).
- Experience designing and implementing solutions for enterprise agentic AI use cases.
Culture & Benefits
- 100% employer-paid medical insurance.
- RSU stock grants.
- Generous paid time-off (PTO), paid sick time, and inclusive parental leave.
- Professional development and training opportunities.
- Monthly cell phone stipend and mental health support platform.
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