Tech Stack
Amazon RedshiftBigQueryCloudETLOracle
About the role
- Build, train, and lead a global team of high-performing Sales Engineers to drive ELT sales worldwide.
- Work closely with sales to understand customer requirements and execute a technical sales process.
- Conduct product demonstrations, proof of concepts (POCs), and technical presentations for potential customers.
- Provide technical leadership and guidance during customer engagements and technical discussions.
- Develop competitive content and playbooks, including ROI calculators and POC Guides.
- Define and track OKRs (POC Win Rate, Win Rate, O2C rate, No Opp rate, Loss Calls) and use them for strategic planning.
- Refine technical sales process to remain competitive against key ELT competitors.
- Create and deliver content, tools, and processes for team development (POC requirements, RFP database, product feedback, hiring, escalation/support).
- Build specialized subject matter expertise within the team (e.g., Oracle Log-based CDC, Snow Pro advanced certifications).
- Collect, synthesize, and communicate customer feedback to the Product team to drive product improvements.
- Develop deep relationships with Sales leadership and cross-functional partners to identify performance gaps and needs.
- Leverage sales enablement platforms to deploy, manage, and measure sales engineering training.
Requirements
- A bachelor's degree in a technical field; an advanced degree is preferred.
- 15+ years of experience leading Sales Engineering teams in the data/analytics space.
- Deep understanding of ETL space.
- Deep understanding of “Modern Data Stack” analytical architecture, including both batch and streaming interfaces.
- Deep understanding of Snowflake, BigQuery, Redshift, and Databricks.
- Deep knowledge of software implementation best practices.
- Ability to understand complex technical concepts and develop them into a consultative sale.
- Ability to hire and develop A players.
- Ability to coach and develop team members.
- Experience in both a large company and a startup environment.
- Experience running teams globally.
- Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels (individual developer up to CTO).
- Demonstrated ability to collaborate across teams and functions.
- Proven track record of meeting and exceeding sales targets.
- Direct experience working in the SaaS space. Data Science, Data Warehouse, Cloud, Analytics, and/or Business Intelligence experience would be highly preferred.