✨ AI Insights & Summary
This Pre-Sales Solution Architect role at MongoDB in Dublin is an exceptional opportunity for a technically adept sales professional to drive growth within a leading data platform company. You'll be at the forefront of helping global customers design and build scalable systems, acting as a trusted advisor and playing a critical role in winning deals. This position offers unparalleled learning opportunities in MongoDB's extensive product suite, market-relevant technologies, and modern architecture design, including cutting-edge AI applications.
About MongoDB
MongoDB is built for change, empowering customers and employees to innovate at market speed. They have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified, globally distributed data platform helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Their cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, MongoDB powers the next era of software.
The Role
MongoDB Pre-Sales Solution Architects are responsible for guiding customers and users to design and build reliable, scalable systems using their data platform. This role involves working closely with sales executives to solve business problems by leveraging MongoDB solutions, playing a key role in winning deals and driving business forward. You will be a trusted advisor to a wide range of users, from startups to the world's largest enterprise IT organizations. This position is based in Dublin with a hybrid working model.
What You Will Do:
- Design and Architect: Design scalable and performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimization strategies for MongoDB, while clearly communicating its business value to relevant stakeholders.
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification, and pipeline generation strategy, while taking ownership of the technical aspects (including technical discovery, demos, proof of value, presentations, sizing, and documentation).
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives and participation in events such as industry trade shows and account-based marketing events.
- Customer Success: Foster strong customer relationships, build champions, and ensure customer success and satisfaction.
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g., by relaying field feedback to the product team), and proactively mentor other Solutions Consulting team members.
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of the MongoDB product suite and industry trends.
What You Bring (Ideal Candidate):
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer-facing role.
- Minimum of 2 years of 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 implementing scalable and highly available distributed systems in the cloud and on-premises.
- Demonstrated ability to work with customers to review complex architectures of existing applications and provide guidance on improvements using 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 work with a cross-functional sales team to formulate and execute an end-to-end deal cycle.
- Ability to travel up to 25%.
- A Bachelor’s degree or equivalent work experience.
You May Also Have:
- Experience developing, deploying, or supporting applications with any of the 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 popular sales methodologies/frameworks such as MEDDPICC/Command of the Message.
- A MongoDB Certification.
- A Cloud Provider Certification.
What You Will Learn:
- MongoDB Product Suite Mastery: Core Database Server, Atlas and Advanced Services (Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Charts), Relational Migrator.
- Market-Relevant Technologies: Hyperscaler Ecosystem (AWS, Google Cloud, Azure), Complementary Technologies (Apache Kafka, Kubernetes).
- Modern Architecture Design: Design Patterns and Methodologies (microservices, DevOps, cloud, security), Cutting-Edge RAG and AI Architectures.
- Sales Techniques and Soft Skills: Effective Communication (presentations, demonstrations, whiteboarding), Client Interaction (discovery, objection handling).
- Industry Insights: Diverse Market Verticals.
Commitment to Diversity & Inclusion
MongoDB is committed to providing necessary accommodations for individuals with disabilities in its application and interview process. They are an equal opportunities employer.