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MongoDB Pre-Sales Senior Solutions Architect 
United States, Indiana, Indianapolis 
587680984

24.06.2024

שיתוף

התחבר/י כדי להגיש מועמדות
As an ideal candidate, you will have:
  • 5+ years of software development experience
  • 3+ years of pre-sales experience with enterprise software
  • Solid understanding and ability to code with two or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
  • Experience with scalable and highly available distributed systems
  • Excellent presentation and interpersonal skills
  • The ability to travel up to 30%
  • A Bachelor’s degree or equivalent work experience
You may also have:
  • Experience selling databases and/or deploying applications with any of the major cloud providers
  • Experience with database programming and data models
  • A MongoDB Certification
What you do at MongoDB:
  • Design systems, applications, and infrastructure to help drive software development projects using MongoDB
  • Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
  • Expertly articulate the business value of MongoDB solutions
  • Align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
  • Translate technical concepts and patterns into business benefits for management and executives
  • Act as a liaison, collecting feedback from the field to relay back to the Product Management team
  • Help drive demand through participation in both industry-known trade-shows as well account-based marketing events
  • Demonstrate resilience and sound judgment in dealing with business challenges
  • Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
What you will learn:
  • The rapidly growing MongoDB product suite, including:
  • Core database server
  • Atlas (fully managed cloud database service)
  • Atlas Data Lake, Atlas Full-Text Search, Realm and Charts
  • Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
  • Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
  • Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security
$204,000 USD

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