As an ideal candidate, you will have

• 3+ years of search or information retrieval expertise (Elasticsearch, Lucene, Solr, Algolia, Milvus, Qdrant, or similar)
• 3+ years of software development experience or pre-sales experience with enterprise software
• Excellent communication skills in English and Spanish
• Solid understanding and ability to code with two or more modern scripting languages (e.g. Python, Node.js, etc) and/or popular programming languages (e.g. C, C++, C#, Java, etc)
• Solid understanding of how to use AI agents in day-to-day work
• Experience with scalable and highly available distributed systems
• Excellent presentation and interpersonal skills
• A Bachelor’s degree or equivalent work experience
• Ability to travel approximately 20% of the time
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You may also have

• Experience with building and/or deploying AI agentic applications
• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• A MongoDB Certification
• A major cloud provider certification
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What you do at MongoDB

• Design systems, applications, and infrastructure to help drive software development projects using MongoDB and the Atlas data platform
• 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
• Help enable other solutions architects with knowledge on search technical and business concepts as well as build tools to allow other SAs to demonstrate these concepts
• Assist in the direction of Search and AI through collaboration with Product Management