Pre-Sales Solutions Architect
Pre-sales Solutions Architect guiding enterprise customers in designing scalable applications and distributed systems with MongoDB. The role partners with sales teams on discovery, demonstrations, proofs of value, and technical deal execution across the Americas.
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 technical and business 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.
- Improve MongoDB solutions and processes by relaying field feedback to product teams.
- Mentor other Solutions Consulting team members.
- Participate in ongoing product and industry training.
Requirements
- 5 to 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 and highly available distributed systems in cloud and on-premises environments.
- Experience reviewing complex application architectures and recommending improvements.
- Excellent presentation, communication, and interpersonal skills.
- Ability to explain complex technical and business concepts clearly to technical and business leadership.
- Ability to work with cross-functional sales teams through the full deal cycle.
- Bachelor’s degree or equivalent work experience.
- Professional proficiency in written and verbal English.
Nice to haves
- Experience developing, deploying, or supporting applications with major cloud providers.
- Technical pre-sales experience.
- Database programming and data modeling experience.
- Experience in data engineering or AI/ML projects.
- Familiarity with MEDDPICC or Command of the Message.
- MongoDB certification.
- Cloud provider certification.
Benefits
- Employee affinity groups.
- Fertility assistance.
- Generous parental leave policy.
- Supportive professional development and employee wellbeing programs.
Technical areas
- MongoDB Core Database Server, Atlas, Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Charts, and Relational Migrator.
- Hyperscaler cloud services, Apache Kafka, Kubernetes, microservices, DevOps, cloud security, RAG, and generative AI architectures.
Skills
MongoDB, Python, Node.js, SQL, C/C++, Java, C#, Distributed Systems, AWS, GCP, Microsoft Azure, Apache Kafka, Kubernetes, DevOps, Generative AI
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