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Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
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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
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Experience designing with scalable and highly available distributed systems in the cloud and on-prem
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Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
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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
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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
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The ability to travel up to 25%
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A Bachelor's degree or equivalent work experience
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Experience selling databases and/or deploying applications with any of the major cloud providers
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Experience with database programming and data models
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Experience in data engineering or AI/ML projects
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Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
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Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
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A MongoDB Certification
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A Cloud Provider Certification
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Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
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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
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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)
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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
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Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
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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
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Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
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Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
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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
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Relational Migrator: Learn to migrate from relational databases seamlessly
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Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
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Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
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Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
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Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
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Effective Communication: Master presentations, demonstrations, and whiteboarding
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Client Interaction: Develop strategies for discovery and objection handling
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Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
