Advisory Solutions Architect

MongoDB
Paris
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 12+ yearsEducation: mastersSkills: ["Presentation","Communication","Interpersonal skills","Collaboration","Thought leadership","Mentoring","Customer advising","Stakeholder management","Pipeline generation"]

Guide customers and users in designing and building reliable, scalable systems using MongoDB’s data platform. Partner with sales teams to win complex enterprise deals through technical discovery, demos, proofs of value, and architecture guidance. Advise on optimization patterns and value articulation for MongoDB, generate demand through technical initiatives and events, and support customer success. Work closely with leadership across accounts while sharing field feedback and best practices to drive continuous improvement.

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FursaFursa
MongoDB
MongoDB
22 hours ago

Advisory Solutions Architect

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Last checked: 4 hours agoStatus: Live

Job Summary

Guide customers and users in designing and building reliable, scalable systems using MongoDB’s data platform. Partner with sales teams to win complex enterprise deals through technical discovery, demos, proofs of value, and architecture guidance. Advise on optimization patterns and value articulation for MongoDB, generate demand through technical initiatives and events, and support customer success. Work closely with leadership across accounts while sharing field feedback and best practices to drive continuous improvement.
Location: Paris
Workplace: Hybrid
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.
  • •Guide customers on architecture patterns and optimization strategies for MongoDB while clearly communicating business value to stakeholders.
  • •Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification, and pipeline generation, owning the technical aspects (discovery, demos, proof of value, presentations, sizing, documentation).
  • •Proactively generate demand through technical initiatives and participation in events such as trade shows and account-based marketing events.
  • •Foster customer relationships and champion customer success; continuously improve solutions and processes by relaying field feedback and mentoring others.
Travel: Medium travel

Pay and Benefits

Perks:Parental Leave

Key Requirements

  • •12+ years of related experience in a customer-facing role, including minimum 7 years of pre-sales experience navigating complex enterprise software sales cycles with multiple stakeholders.
  • •Minimum 3 years experience with modern scripting languages (e.g., Python, Node.js, SQL) and/or programming languages (e.g., C/C++, Java, C#) in a professional capacity.
  • •Experience designing scalable, highly available distributed systems in the cloud and on-prem.
  • •Ability to work with customers to review complex application architecture and provide guidance for improvement leveraging technology.
  • •Excellent presentation, communication, and interpersonal skills; experience with sales methodologies/frameworks such as MEDDPICC/Command of the Message.
Experience:12+ yearsEnterprise software salesPre-salesCloudOn-premDistributed systemsData engineeringAI/MLSRE
Education:Master's
Skills:PresentationCommunicationInterpersonal skillsCollaborationThought leadershipMentoringCustomer advisingStakeholder managementPipeline generation
Certifications:MongoDB CertificationCloud Provider Certification
Languages:English
Tech Stack:MongoDBAtlasAtlas Stream ProcessingAtlas Data LakeAtlas Full-Text SearchAtlas Vector SearchRelational MigratorAWSGoogle CloudMicrosoft AzureApache KafkaKubernetesMicroservicesDevOpsCloudSecurityPythonNode.jsSQLC/C++

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