About the company
MongoDB Pre-Sales Solution Architects guide customers and users to design and build reliable, scalable systems using the data platform.
Responsibilities
- Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Guide customers on architecture patterns and optimisation strategies for MongoDB, communicating its business value to stakeholders
- Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy
- Proactively generate demand within the sales territory through self-driven technical initiatives and participation in events
- Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Continuously seek opportunities to innovate and improve MongoDB solutions and processes
- Engage in ongoing training and professional development
Requirements
- 5 to 8 years of related industry experience, ideally 2 years in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
- Experience implementing 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
- Excellent presentation, communication, and interpersonal skills
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- Ability 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
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of sales methodologies such as MEDDPICC
- MongoDB Certification
- Cloud Provider Certification
Conditions
- Hybrid working model, based in London