Technical Engagement Manager

The role

You will work with large customers to understand business challenges and architect solutions using Starburst products. You will serve as a trusted advisor to drive business outcomes and product adoption.

What you will do

• Establish trust and credibility through Data and AI industry knowledge.
• Build and nurture relationships with customer champions.
• Offer support and guidance to the champion throughout the engagement.
• Address concerns and objections from stakeholders to drive alignment.
• Solicit and incorporate feedback from stakeholders.
• Collaborate with sales teams to identify new use cases or adoption opportunities.
• Drive adoption of Starburst to reach customer success criteria.
• Partner with architects, engineers, and project managers for service delivery.
• Serve as a primary point of contact for customers.
• Monitor and report on key performance indicators.

Required qualifications

• Bachelor's degree in business, technology, or a related field.
• Deep understanding of data architecture principles, including data modeling, data integration, and data warehousing.
• Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark).
• Strong problem-solving skills and ability to think strategically about business challenges and technical solutions.
• Proven track record of successfully managing customer engagements and delivering business outcomes.
• Excellent communication and interpersonal skills.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Ability to Travel: 25% in-person travel.

Nice to have

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
• Experience with containerization technologies (e.g., Docker, Kubernetes)

Benefits

• Competitive pay
• Attractive stock grants
• Flexible paid time off

About the company

Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data. The company helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation.