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MongoDBMongoDB

Senior Pre-Sales Solutions Architect

The Senior Pre-Sales Solutions Architect designs scalable MongoDB-based architectures, leads technical discovery and demonstrations, and advises enterprise customers in partnership with sales teams. The role requires extensive customer-facing pre-sales experience, distributed-systems expertise, programming proficiency, and strong 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, clearly communicating business value to relevant 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 within the sales territory through technical initiatives, industry trade shows, and account-based marketing events.
  • Foster strong customer relationships, build champions, and ensure customer success and satisfaction.
  • Improve MongoDB solutions and processes by relaying field feedback to the product team.
  • Mentor other Solutions Consulting team members.
  • Participate in ongoing training and professional development.

Requirements

  • 8–11 years of related experience in a customer-facing role.
  • 5–7 years of pre-sales experience with enterprise software.
  • At least 3 years of professional experience with modern scripting or programming languages, such as Python, Node.js, SQL, C/C++, Java, or C#.
  • Experience designing 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 strategize with sales teams and develop multi-threaded account strategies.
  • Ability to travel up to 25%.
  • Bachelor's degree or equivalent work experience.

Nice-to-haves

  • Experience selling databases or deploying applications with major cloud providers.
  • Database programming and data modeling experience.
  • Experience with data engineering or AI/ML projects.
  • Experience modernizing legacy systems and platforms.
  • Understanding of MEDDPICC or Command of the Message sales frameworks.
  • MongoDB certification.
  • Cloud provider certification.

Compensation and Benefits

  • MongoDB describes a supportive and enriching culture with employee affinity groups, fertility assistance, and generous parental leave.
  • The role includes ongoing product and industry training, exposure to diverse market verticals, and professional development opportunities.

Skills

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

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