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About the Role

MongoDB Pre-Sales Solution Architects guide customers and users in designing and building reliable, scalable systems using MongoDB's data platform. This role involves working closely with sales executives to solve business problems, win deals, and drive business growth. You will act as a trusted advisor to a diverse range of users, from startups to large enterprise IT organizations.

Responsibilities

• Design and Architect scalable and performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
• Guide customers on architecture patterns and optimization strategies for MongoDB, while clearly communicating its business value.
• Collaborate with the sales team to drive account success through account planning, opportunity prioritization, qualification, and pipeline generation strategy.
• Take ownership of technical aspects including technical discovery, demos, proof of value, presentations, sizing, and documentation.
• 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 by relaying field feedback to the product team.
• Proactively mentor other Solutions Consulting team members.
• Engage in ongoing training and professional development to stay abreast of MongoDB product suite and industry trends.

Requirements

• 8 to 11 years of related experience in a customer-facing role.
• 5 to 7 years of experience in pre-sales with enterprise software.
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity.
• 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, with the ability to convey complex technical and business concepts clearly and compellingly to technology and business leadership.
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources.
• Ability to travel up to 25%.
• A Bachelor’s degree or equivalent work experience.

Skills

• Modern scripting languages (e.g. Python, Node.js, SQL)
• Popular programming languages (e.g. C/C++, Java, C#)
• Designing scalable and highly available distributed systems
• Cloud and on-prem systems design
• Customer-facing technical consulting
• Presentation skills
• Communication skills
• Interpersonal skills
• Sales strategy
• Account planning
• Database programming
• Data models
• Data engineering
• AI/ML projects
• Legacy system transformation
• Sales methodologies/frameworks (e.g. MEDDPICC/ Command of the Message)
• MongoDB Product Suite
• Atlas
• Atlas Stream Processing
• Atlas Data Lake
• Atlas Full-Text Search
• Atlas Vector Search
• Charts
• Relational Migrator
• Hyperscaler cloud services
• Apache Kafka
• Kubernetes
• Microservices
• DevOps
• Cloud security
• Generative AI architectures
• RAG architectures

Location

• London

Work Type

• Hybrid

Experience Level

• 8 to 11 years of related experience
• 5 to 7 years of pre-sales experience
• 3 years of scripting/programming language experience

Education Level

• Bachelor’s degree or equivalent work experience

Benefits

• Fertility assistance
• Generous parental leave policy

About the Company

• MongoDB is built for change, empowering customers and people to innovate at the speed of the market.
• MongoDB has redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software.
• MongoDB's unified database platform is the most widely available, globally distributed database on the market.
• MongoDB Atlas is a globally distributed, multi-cloud database available across AWS, Google Cloud, and Microsoft Azure.
• MongoDB powers over 60,000 customers, including 75% of the Fortune 100 and AI-native startups.
• MongoDB's compass is its Leadership Commitment, guiding decisions, interactions, and success.
• MongoDB is committed to developing a supportive and enriching culture for everyone.
• MongoDB values employee wellbeing and supports them along their professional and personal journeys.

Equal Opportunity

• MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.
• MongoDB is an equal opportunities employer.