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Field Engineering Manager (New York)

Databricks

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Job Details

Location: 160 Spear St 13th floor, San Francisco, CA 94105, USA Posted: May 31, 2019

Job Description

Mission

The SA Manager will lead a team of exceptional Solution Architects. As you will help to spearhead our expansion, the ideal candidate is one who has built and led technical pre-sales teams in the Enterprise Software, Big Data/Analytics or Data Science and has a strong track record of partnering with the sales organization to close revenue. You'll rapidly scale and maintain a world-class field-engineering organization in the designated region/segment that is both highly effective and highly efficient in its operations in order to help accelerate Databricks’ growth in the market. You thrive in a high growth startup environment with constant change and are excited to be part of expanding Databricks mission.

Outcomes

  • Hire, train, and grow a team of Solutions Architects for a company in high growth mode.
  • Crush your region’s sales target - by making sure your SA team knows how to qualify accounts especially from a technical perspective, identify key use cases, plan and execute on POCs, and establish themselves as trusted advisors.
  • Make your customers extremely successful with Databricks to deliver high value to their businesses.
  • Establish cross functional relationships across the org to make your customers and team successful.

Competencies

  • 5+ years of experience in the data analytics space for a deeply technical product (i.e. data warehousing, big data, and machine learning)
  • Proven Trusted Advisor to technical executives that drive strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, POC’s, whiteboard architecture discussions, and product demonstrations.
  • Track record of presales leadership - building out a territory, upselling strategic accounts, and exceeding annual quota.
  • Experience hiring top talent and ramping them up to be successful.
  • Strong leadership skills - create a positive morale for the team and help foster a strong working relationship between the field engineering and direct sales team.
  • Team player that will work well with other teams (Sales, PM, CS)

Benefits

  • Competitive salary with uncapped commission and aggressive accelerators
  • Medical, dental, vision
  • 401k Retirement Plan
  • Unlimited Paid Time Off
  • Catered lunch (everyday), snacks, and drinks
  • Gym reimbursement
  • Employee referral bonus program
  • Awesome coworkers
  • Maternity and paternity plans

About Databricks

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache SparkTM, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com .

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation .

About Databricks

Join us to help data teams to solve the world’s toughest problems. At Databricks, we build platforms to enable data teams to solve the world’s toughest problems, from security threats to cancer drug discovery. Organizations trust us to accelerate their success. Built by the original creators of Apache Spark, our Unified Analytics Platform provides the world’s best data infrastructure so our customers can focus on the high value problems that are core to their missions. Join us – together we can help use data to solve the challenges of tomorrow.

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