Pre-Sales Solutions Architect

MongoDB
São Paulo, Mexico City
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5-8 yearsSkills: ["Presentation","Communication","Interpersonal skills","Customer advising","Cross-functional collaboration","Mentoring","Technical discovery","Pipeline generation"]

Guide enterprise customers in designing and building reliable, scalable systems using MongoDB’s data platform. Partner with sales to drive account success across discovery, demos, proof of value, and technical documentation, while proactively generating demand. Advise customers on architecture patterns and optimization strategies for MongoDB, build customer champions, and relay field feedback to improve solutions. Work remotely from São Paulo across the Americas.

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FursaFursa
MongoDB
MongoDB
1 month ago

Pre-Sales Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Guide enterprise customers in designing and building reliable, scalable systems using MongoDB’s data platform. Partner with sales to drive account success across discovery, demos, proof of value, and technical documentation, while proactively generating demand. Advise customers on architecture patterns and optimization strategies for MongoDB, build customer champions, and relay field feedback to improve solutions. Work remotely from São Paulo across the Americas.
Location: São Paulo, Mexico City
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and architect scalable, performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
  • •Advise customers on architecture patterns and optimization strategies for MongoDB, articulating business value to stakeholders.
  • •Partner with the sales team to drive account success through account planning, opportunity qualification, and pipeline generation, owning technical aspects such as discovery, demos, proof of value, presentations, sizing, and documentation.
  • •Proactively generate demand in the sales territory via technical initiatives and participation in events and account-based marketing.
  • •Foster customer success by building champions, ensuring satisfaction, mentoring Solutions Consulting team members, and relaying field feedback to the product team.

Pay and Benefits

Perks:Parental Leave

Key Requirements

  • •5 to 8 years of related industry experience with ideally 2 years in a customer-facing role.
  • •Minimum 2 years of experience with modern scripting languages (e.g., Python, Node.js, SQL) and/or professional experience with programming languages (e.g., C/C++, Java, C#).
  • •Experience implementing scalable, highly available distributed systems in cloud and on-prem environments.
  • •Ability to review complex application architectures with customers and provide guidance on improvements using technology.
  • •Professional English proficiency (written and verbal) and a Bachelor’s degree or equivalent work experience.
Experience:5-8 yearsEnterpriseCloudDistributed systemsData engineeringAI/MLPre-sales
Skills:PresentationCommunicationInterpersonal skillsCustomer advisingCross-functional collaborationMentoringTechnical discoveryPipeline generation
Certifications:MongoDB CertificationCloud Provider Certification
Languages:English
Tech Stack:MongoDBMongoDB AtlasAtlas Stream ProcessingAtlas Data LakeAtlas Full-Text SearchAtlas Vector SearchChartsMicroservicesDevOpsCloudSecurityApache KafkaKubernetesAWSGoogle CloudMicrosoft AzurePythonNode.jsSQLC

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn