Pre-Sales Solutions Architect

MongoDB
Mexico CityPosted 10 March 2026

Job Description

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You will act as a trusted advisor to a broad portfolio of customers across industries in MongoDB’s Commercial Growth territory, helping them design, build, and scale modern applications. This role can be based in Mexico City for our hybrid working model with business fluency in English. As an ideal candidate, you will have: 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role. Minimum of 2 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 implementing 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 work with a cross functional sales team to formulate and execute an end to end deal cycle. A Bachelor’s degree or equivalent work experience English language skills are required for this role You may also have Experience developing, deploying, or supporting applications with any of the major cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message A MongoDB Certification A Cloud Provider Certification What you do at MongoDB 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 traini ... (truncated, view full listing at source)
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