Senior Solutions Architect

MongoDB is seeking a Senior Solutions Architect (Pre-Sales) to join our Pre-Sales organization. In this role, you will guide customers and users to design and build reliable, scalable systems using our data platform. You will work closely with sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You will be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

• Design and architect scalable and performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
• Advise customers on architecture patterns and optimization strategies for MongoDB, while clearly 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, taking 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, participation in events such as industry trade shows and account-based marketing events.
• Foster strong customer relationships, build champions, and ensure customer success and satisfaction.
• Continuously seek opportunities to innovate and improve MongoDB solutions and processes, and mentor other Solutions Consulting team members.
• Engage in ongoing training and professional development to stay abreast of MongoDB product suite and industry trends.

• Ideally 8 to 11 years of related experience in a customer-facing role, with 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 in a clear and compelling manner 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 to move towards a mutually beneficial account plan.
• The ability to travel up to 25%.
• A Bachelor’s degree or equivalent work experience.

• Experience selling databases and/or deploying applications with any of the major cloud providers.
• Experience with database programming and data models.
• Experience in data engineering or AI/ML projects.
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks.
• Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message.
• A MongoDB Certification or a Cloud Provider Certification.

• Master the fundamentals and advanced features of MongoDB's core database.
• Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts.
• Learn to migrate from relational databases seamlessly with Relational Migrator.
• Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms.
• Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes.
• Embrace best practices in microservices, DevOps, cloud, and security.
• Help customers on their generative AI journeys and working with industry leading partners in the space.
• Master presentations, demonstrations, and whiteboarding.
• Develop strategies for discovery and objection handling.
• Gain exposure to a broad spectrum of interesting use cases across various industries.

MongoDB’s base salary range for this role in the U.S. is $104,000—$204,000 USD. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range and benefits are only applicable to U.S.-based candidates.

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is 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, relying on MongoDB for their most important applications, we’re powering the next era of software.

To apply, please use the application link provided on the MongoDB careers page.