MongoDB Pre-Sales Senior Solutions Architect 

United States, California, San Francisco 

296618170

This role can be based remotely in San Francisco, CA.

• 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

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• A MongoDB Certification

• 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

• 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