What You’ll Do
- Work with Enterprise customers to understand their business requirements, use cases, and develop prescriptive solutions recommendations
- Develop and deliver value-based, technical solution demonstrations to enterprise audiences
- Own and drive structured proof-of-value process that secures the technical win
- Work closely with Product, Support, Customer Success and Engineering teams to ensure alignment of our solutions to enterprise customer needs
- Own the full customer lifecycle from pre-sale evaluation through product adoption and expansion
- Develop and maintain relationships with customers and key partners
- Stay up-to-date on the latest technologies and trends in our industry
Skills We’re Looking For
- 4+ years of Enterprise solutions engineering experience driving end to end technical sales cycle
- Strong technical background, with hands-on experience in SQL, ELT, data modeling, analytics engineering, databases or software development
- A firm understanding of a modern data warehousing architectures and the ability to discuss them credibly with technical audiences
- Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical personas
- Bias for action - you move fast, ship early, and refine as you learn
- A passion for being an inclusive teammate and involved member of the community
Bonus Skills
- Knowledge or prior experience with dbt
- Networking and security knowledge relevant to enterprise deployments, such as private networking, VPC/PrivateLink, encryption, and data governance controls
- Experience designing and implementing solutions for enterprise agentic AI use cases (data, security, or infrastructure)
Technologies You’ll Use
- AWS, GCP, Azure, Snowflake, Databricks, Redshift, BigQuery, Python, Git, APIs, SQL, RDBMS (i.e. SQL Server, PostgreSQL..etc)
Compensation
Pay Range: $158,010—$197,512.50 USD
OTE (On Target Earning): $197,512.50—$246,890.63 USD