Senior Pre-sales Solutions Architect

MongoDB MongoDB · Enterprise · Boston, MA · Solutions Consulting

This role is a Senior Pre-Sales Solutions Architect at MongoDB, focusing on guiding customers to design and build systems using MongoDB's data platform. While the role involves understanding and advising on AI/ML projects and RAG architectures, its core function is pre-sales technical consulting and customer success within the broader MongoDB ecosystem, not direct AI/ML model development or deployment.

What you'd actually do

  1. Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
  2. 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
  3. 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)
  4. 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
  5. Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction

Skills

Required

  • 8 to 11 years of related experience in a customer facing role
  • 5 to 7 years of experience in pre-sales with enterprise software
  • 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
  • Experience designing with 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
  • Ability to strategize with sales teams
  • Ability to travel up to 25%
  • A Bachelor’s degree or equivalent work experience

Nice to have

  • Experience selling databases and/or deploying applications with any of the major cloud providers
  • Experience with database programming and data models
  • Experience in data engineering or AI/ML projects
  • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

What the JD emphasized

  • customer facing role
  • pre-sales with enterprise software
  • modern scripting languages
  • scalable and highly available distributed systems
  • complex architecture
  • technical and business concepts
  • multi-threaded account strategy
  • AI/ML projects
  • transforming legacy systems
  • MongoDB Product Suite Mastery
  • Atlas and Advanced Services
  • Hyperscaler Ecosystem
  • Complementary Technologies
  • Modern Architecture Design
  • Cutting Edge RAG and AI Architectures
  • Sales Techniques and Soft Skills