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MongoDB Senior Solutions Architect 
China, Hong Kong, Hong Kong Island 
495974359

Yesterday
As an ideal candidate, you will have
  • Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software

  • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity

  • Experience designing with scalable and highly available distributed systems in the cloud and on-prem

  • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology

  • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.

  • Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan

  • The ability to communicate in Cantonese, with business level proficiency

  • The ability to travel up to 50%

  • 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

  • Experience in data engineering or AI/ML projects

  • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks

  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message

  • A MongoDB Certification

  • A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

  • Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB

  • Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders

  • Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)

  • Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events

  • Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction

  • Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members

  • Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

  • Core Database Server: Master the fundamentals and advanced features of MongoDB's core database

  • Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts

  • Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies

  • Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms

  • Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

  • Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security

  • Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills

  • Effective Communication: Master presentations, demonstrations, and whiteboarding

  • Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

  • Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

Req ID - 4263287097