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MongoDB Solutions Architect Mandarin Speaking Singapore 152788026
24.06.2024
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As an ideal candidate, you will have
- 2+ years of pre-sales experience
- 5+ years of professional experience in total with a strong software development background
- Solid understanding and ability to code with one 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 communication skills
- The ability to communicate in Chinese language, with business level proficiency
- The ability to travel up to 50% of the time
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers (AWS, Google Cloud, Azure, etc.)
- Experience with database programming and data models
- A MongoDB Certification
- Design systems, applications, and infrastructure to help drive some of the world's largest software development projects using MongoDB
- Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
- Partner with our sales team to help ensure success in accounts in the assigned territory
- 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, capturing feedback from the field to relay back to the Product Management team
- Help drive demand through the participation in both industry-known trade-shows as well as account-based marketing events
- Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
- Have situational awareness and react appropriately in group settings
- The rapidly growing MongoDB product suite, including:
- Core database server
- Atlas (fully managed cloud database service)
- Atlas Full-Text Search and Vector Search, Realm (Mobile database) and Atlas App Services, Atlas Data Federation and Charts
- Other Tools and connectors - Ops/Cloud Manager, Compass, Relational Migrator, 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, event-driven architectures, DevOps, cloud, security
- Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
- Exposure to a wide variety of market verticals and a broad spectrum of exciting use cases
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