Advisory / Senior Solutions Architect

About the role

We are looking for passionate individuals to join our presales organization who can provide strong technical support for our platform and help MongoDB grow based on customer needs.

MongoDB Presales Solutions Architects guide customers and users in designing and building reliable, scalable systems using the MongoDB data platform. This team consists of experienced technical sales professionals, software architects, entrepreneurs, and developers who are directly responsible for customer success, including software design, deployment, and operations. This role works closely with sales professionals to solve customer business problems using MongoDB solutions, playing a key role in closing deals and business development. We are looking for someone to become a trusted advisor to a wide range of users, from startups to the world's largest enterprise IT organizations.

In line with our hybrid work policy, we are looking for candidates who can commute to our Seoul, South Korea office.

As an ideal candidate, you will have

• 12+ years of experience in customer-facing roles (3+ years of enterprise software presales experience preferred)
• 3+ years of professional experience with modern scripting languages like Python, Node.js, SQL, or popular programming languages like C/C++, Java, C#
• Experience designing scalable, high-availability distributed systems in cloud and on-premise environments
• Experience reviewing complex architectures of existing applications and proposing improvements through technology utilization
• Excellent presentation and communication skills, with the ability to communicate clearly and persuasively with technical and business leadership
• Ability to collaborate strategically with sales teams and establish multi-faceted customer strategies
• Ability to travel up to 25%
• Bachelor's degree or equivalent experience

You may also have

• Experience selling databases and deploying applications with major cloud providers
• Experience with database programming and data models
• Experience participating in data engineering or AI/ML projects
• Experience transitioning legacy systems to modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message
• MongoDB and cloud provider certifications

What you do at MongoDB

This role handles complex opportunities that require in-depth analysis of situations or data.

• Design and Architecture: Design scalable and high-performance applications, systems, and infrastructure for large-scale software projects
• Customer Advising and Value Articulation: Guide customers on MongoDB architecture patterns and optimization strategies, and clearly communicate business value to relevant stakeholders
• Sales Collaboration: Handle technical aspects of the sales process, including technical discovery, demos, proof of value, and presentations
• Demand Generation: Participate in industry events and account-based marketing events to generate demand through technical initiatives
• Customer Success: Build strong customer relationships, foster customer champions, and ensure success and satisfaction
• Innovation and Improvement: Innovate and improve MongoDB solutions and processes, such as relaying field feedback to the product team
• Training and Development: Continuous learning and self-development regarding the MongoDB product suite and industry trends

What you will learn

MongoDB Product Suite

• Core Database Server: Master the fundamentals and advanced features of the core MongoDB database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Seamless migration tools for relational databases

Market-Relevant Technologies

• Hyperscaler Ecosystem: Gain expertise in designing complex systems using cloud services from hyperscaler platforms
• Complementary Technologies: Strengthen expertise in partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting-edge RAG and AI Architectures: Support customers on their generative AI journey and work with leading partners in the field

Sales Techniques and Soft Skills

• Effective Communication: Master presentations, demos, and whiteboarding skills
• Customer Interaction: Develop strategies for discovery and objection handling

Industry Insights

• Diverse Market Verticals: Experience with interesting use cases across various industries

About MongoDB

MongoDB is built for change. We empower our customers and team members to innovate at the speed of the market. By redefining the data platform for the AI era, we help builders create, transform, and innovate industries through software. As the most widely available and globally distributed unified data platform on the market, MongoDB helps organizations modernize legacy workloads, embrace innovation, and unleash the potential of AI. As a 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, MongoDB has over 67,000 customers, including 75% of the Fortune 100 and AI-native startups. They run their most critical applications on MongoDB, and we are leading the next era of software.

At MongoDB, our compass is our Leadership Commitment. This is the standard that guides how and why we make decisions, how we show up for each other, and how we succeed together. This is what makes MongoDB, MongoDB.

We are committed to creating a culture that supports and enriches everyone to enhance the personal growth and business impact of all our members. From employee affinity groups to fertility assistance and generous parental leave policies, we value our members' well-being and support their professional and personal journeys at every step. Learn more about what it's like to work at MongoDB and join us on our journey to make a difference in the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

About the role

MongoDB Presales Solutions Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

We are looking to speak to candidates who are based in Seoul office for our hybrid working model.

As an ideal candidate, you will have

• Ideally 12+ years of related experience in a customer facing role, minimum 3 years of experience in presales with enterprise software preferred
• 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

You may also have

• 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
• A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will

• 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 optimisation strategies for MongoDB, while clearly communicating its business value to the 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 but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: 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
• 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), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries.

About MongoDB

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.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Requisition ID3273516745