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MongoDBMongoDB

Solutions Architect

This pre-sales Solutions Architect designs scalable systems with MongoDB, advises customers on architecture and value, and partners with sales teams on technical discovery, demonstrations, and proofs of value. The role requires 5–8 years of industry experience, programming expertise, distributed-systems experience, and strong customer communication skills.

About the job

Responsibilities

  • Design scalable and performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
  • Guide customers on architecture patterns and optimization strategies for MongoDB while communicating business value to stakeholders.
  • Collaborate with sales teams on account planning, opportunity prioritization and qualification, pipeline generation, technical discovery, demonstrations, proofs of value, presentations, sizing, and documentation.
  • Generate demand through technical initiatives, industry trade shows, and account-based marketing events.
  • Foster customer relationships, build champions, and ensure customer success and satisfaction.
  • Innovate and improve MongoDB solutions and processes, relay field feedback to product teams, and mentor Solutions Consulting team members.
  • Participate in ongoing product and industry training and professional development.

Requirements

  • 5–8 years of related industry experience, ideally including 2 years in a customer-facing role.
  • At least 2 years of professional experience with modern scripting or programming languages, such as Python, Node.js, SQL, C/C++, Java, or C#.
  • Experience implementing scalable, highly available distributed systems in cloud and on-premises environments.
  • Experience reviewing complex application architectures and advising customers on improvements.
  • Excellent presentation, communication, and interpersonal skills.
  • Ability to collaborate with cross-functional sales teams throughout the end-to-end deal cycle.
  • Willingness to travel up to 25%.
  • Bachelor’s degree or equivalent work experience.

Nice to Have

  • Experience developing, deploying, or supporting applications with major cloud providers.
  • Technical pre-sales experience.
  • Database programming and data modeling experience.
  • Data engineering or AI/ML project experience.
  • Familiarity with MEDDPICC or Command of the Message.
  • MongoDB certification.
  • Cloud provider certification.

Compensation and Benefits

  • Supportive and enriching culture.
  • Employee affinity groups.
  • Fertility assistance.
  • Generous parental leave policy.

Skills

MongoDB, Python, Node.js, SQL, C++, Java, C#, Distributed Systems, Cloud Computing, Kubernetes, Apache Kafka, Microservices, DevOps, Artificial Intelligence, Machine Learning

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