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
A Bachelor’s degree or equivalent work experience
The ability to travel up to 20%
Nice to have
Pre-sales experience with enterprise software
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