Technical Engagement Manager
Technical Engagement Manager works closely with large customers to architect Starburst solutions, drive adoption, and achieve business outcomes. Requires data architecture expertise, SQL proficiency, distributed query engines experience, and strong relationship-building skills. Involves 25% travel.
About the job
Responsibilities
- Establish trust and credibility by demonstrating Data & AI industry knowledge, understanding of the buyer's organization, and a track record of successful engagements.
- Build and nurture strong relationships with the champion, who serves as the internal advocate for the engagement within the customer organization.
- Offer support and guidance to the champion throughout the engagement process, helping them navigate internal processes and mobilize resources as needed.
- Proactively address concerns and objections raised by other stakeholders, leveraging insights from the champion and executive buyer to overcome obstacles and drive alignment.
- Solicit feedback from other stakeholders throughout the engagement process, incorporating their input to enhance service delivery and customer satisfaction.
- Collaborate with sales teams to understand customer needs and objectives to identify new use cases and/or adoption opportunities.
- Drive adoption of Starburst culminating in the Customer reaching its success criteria.
- Partner with internal teams, including architects, engineers, and project managers, to ensure successful delivery of services.
- Serve as one of the primary points of contact for customers throughout the engagement lifecycle.
- Monitor and report on key performance indicators (KPIs) to track the success of engagements.
- Drive continuous improvement in processes and methodologies to enhance customer satisfaction and project delivery efficiency.
Requirements
- 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 the 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, with the ability to build strong relationships with customers and internal teams.
Nice-to-Haves
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Compensation
Pay Range: $135,000—$165,000 USD All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering.
Skills
SQL, Presto, Trino, Spark, AWS, Azure, GCP, Docker, Kubernetes, Data Modeling, Data Integration, Data Warehousing
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