Senior Enterprise Sales Engineer

Software Demonstrations

• Assist in qualifying customer use cases, ensuring their challenges can be addressed by our solutions
• Follow best practices for software demonstrations and solution selling, illustrating the value our platform provides
• Handle customer objections and lead prospects toward our solutions

Proof-of-Concept Management

• Oversee the proof-of-concept process for prospects, ensuring rapid achievement of first value
• Collaborate with the customer's data engineering team to drive the seamless integration of our platform into their data architecture

Technical Account Management

• Proactively identify upsell and expansion opportunities, expanding consumption by growing existing workloads or adding workloads from new teams.
• Develop and execute strategies with sellers to increase credit consumption, driving value realization for our customers.
• Leading technical discussions with existing enterprise customers to drive expansion of Matillion across the organization
• Building the book of business with designated sellers
• Actively participating in QBRs with designated sellers

Marketing

• Create technical content about customer use cases and how our solutions address them
• Be the technical expert in territory, representing the company at user groups and conferences

Feedback and Product Improvement

• Gather customer feedback and communicate it to the Product and Engineering teams
• Stay abreast of industry trends and best practices in data integration, educating both customers and internal teams

What we are looking for - Essentials

• 7-10+ years experience as a Sales Engineer, Solution Architect, Data Engineer, or Technical Consulting experience
• Strong desire to win new business by overcoming technical objections through software demonstrations, proofs-of-concept, presentations, and the cultivation of technical relationships
• Deep experience with competitive data integration products and data warehousing use cases with exposure to governance, Business Intelligence, and AI/ML
• Cloud computing experience with expertise in one or more of the following: AWS, GCP, or Azure
• Good understanding of the full software development lifecycle, including agile development
• Experience working with Cloud Data Platforms like Snowflake and Databricks
• Linux and SQL expertise
• Travel- 20-30%