Sales Engineer

June 19

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Unravel Data

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Modern data teams use AI-powered Unravel software to radically simplify DataOps and data modernization

AWS EMR • Databricks • Databricks Delta Lake • Google Cloud Dataproc • Google Cloud BigQuery

51 - 200

Description

• Assist pre sales team (SDR/Account Executives) with technical demonstrations throughout discovery as well as assist in qualifying opportunities in / out • Lead technical demonstrations selling through value and not leading with features / capabilitiesIdentify success criteria with customers that best align to our products capabilities • Play the “technical quarterback“ leading engagements and pulling in internal support members only when necessary • Consistently strategize with account rep throughout engagements in how best to navigate opportunity challenges • Establish baseline “current state” of customer environments to quantitatively measure Unravel’s impact Assist customers in building a business case to justify Unravel investment • Identify new teams / use cases with current customers for upsell opportunities • Share best practices / lessons learned / postmortems with organizationWork with marketing in creating win wires for internal / external usage • Host presentations as an experienced technical leader in the DataOps space via in-person conferences / webinars • Be the “voice of the customer“ in sharing customer feedback (i.e. feature requests) to ensure our product team builds the best platform

Requirements

• Exceedingly strong presentation/soft skills and comfortable interacting with all levels of customers (developers, architects, first/second line managers, VP and above, C-level) • Demonstrable willingness to quickly learn technical skills / sales processes in a high growth industry • Focused on new customer acquisition w/ direct ownership for growth+renewal on select strategic accounts • Possesses "driver" not "passenger" characteristics in driving team / organization to success • Experience working in entrepreneurial/startup environments • General understanding of customer lifecycle, specifically as applied to responsibilities of the role • 5+ years of hands on experience with UNIX/Linux/Cloud systems experience in installation and troubleshooting • 5+ years experience working in big data environments (AWS EMR, Azure HDInsight / Synapse, Google DataProc / BigQuery, Databricks, Snowflake, Cloudera, Hortonworks) • Ability to travel (heavy in-region travel, some out of region travel) primarily in-person customer facing

Benefits

• Autonomy & Responsibility go hand in hand • Competitive rewards package with Stock options • Top tier health benefits • Best in - class Technology • Amazing Peers & Learning Mentors • Work Hard - Play Harder • Your contributions will never go unnoticed