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Pre-Sales Solutions Architect - job 1 of 2

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution 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. 

This role can be based remotely in the New York Metropolitan Area.

As an ideal candidate, you will have:

  • 5 to 8  years of related industry experience, ideally 2 years of experience 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#) in a professional capacity
  • 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, 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 work with a cross functional sales team to formulate and execute an end to end deal cycle
  • The 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 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 optimization 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 journey 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.

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263100827

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. 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 listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$91,000$178,000 USD

Average salary estimate

$134500 / YEARLY (est.)
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$91000K
$178000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Pre-Sales Solutions Architect, MongoDB

Join MongoDB as a Pre-Sales Solutions Architect in New York City and become a part of a team that empowers innovators to redefine industries through software and data. In this exciting role, you will leverage MongoDB Atlas, our industry-leading developer data platform that enables organizations to build and run applications seamlessly across clouds or on-premises. Your expertise will help customers design and implement reliable, scalable systems tailored to their needs. You will collaborate closely with a dynamic team of sales professionals and technical experts to address customer challenges, ensuring they realize the full potential of our solutions. Your position will involve guiding clients through their architectural journey, boosting the success and satisfaction of diverse users ranging from small startups to large enterprises. This is more than a technical role; it’s an opportunity to act as a trusted advisor to organizations that rely on MongoDB to fuel their next-generation applications. To thrive as a Pre-Sales Solutions Architect, you will need to bring a combination of technical skills, customer interaction experience, and a flair for communication. If you have 5 to 8 years of industry experience, coupled with knowledge of modern scripting and programming languages, this could be your next adventure. In addition to ensuring technical alignment, you will also work on innovative initiatives, share insights for continuous improvement, and partake in events aimed at generating demand. Embrace the chance to grow alongside a company that values your contributions and nurtures your professional development in an inclusive culture. Take the leap and make a difference at MongoDB!

Frequently Asked Questions (FAQs) for Pre-Sales Solutions Architect Role at MongoDB
What are the primary responsibilities of a Pre-Sales Solutions Architect at MongoDB?

As a Pre-Sales Solutions Architect at MongoDB, your main responsibilities include guiding customers in designing and building scalable systems using MongoDB Atlas, collaborating with sales teams to drive success, and communicating complex technical concepts to various stakeholders. You will also participate in technical discovery, deliver demos, and ensure customer satisfaction by building strong relationships.

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What qualifications do I need to become a Pre-Sales Solutions Architect at MongoDB?

To become a Pre-Sales Solutions Architect at MongoDB, you should have 5 to 8 years of industry experience, with at least 2 years in a customer-facing role. Strong skills in modern scripting languages and programming languages, along with experience in implementing distributed systems are essential. A Bachelor’s degree or equivalent work experience is required, and certifications in MongoDB or cloud providers would be an added benefit.

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How does a Pre-Sales Solutions Architect at MongoDB contribute to customer success?

At MongoDB, a Pre-Sales Solutions Architect plays a crucial role in customer success by guiding clients in leveraging our technology for their specific needs. You’ll provide architectural guidance, technical support, and insights that help shape the deployment of our solutions, ensuring that customers get maximum value from MongoDB Atlas and achieve their business goals.

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What types of projects would I work on as a Pre-Sales Solutions Architect at MongoDB?

In this role, you will engage in various projects that include designing scalable applications, optimizing existing systems, and addressing complex customer scenarios. You’ll also have opportunities to work on innovative integrations with cloud services, assist in AI/ML projects, and participate in demand generation activities through industry events and marketing initiatives.

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Can a Pre-Sales Solutions Architect at MongoDB work remotely?

Yes, the Pre-Sales Solutions Architect role at MongoDB can be based remotely within the New York Metropolitan Area. This flexibility allows you to engage with customers and collaborate with team members from various locations, enabling a more dynamic and inclusive work environment.

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Common Interview Questions for Pre-Sales Solutions Architect
How would you approach designing a scalable architecture for an application using MongoDB?

To design a scalable architecture for an application with MongoDB, I would begin by understanding the application’s requirements, such as data volume, access patterns, and performance expectations. Then, I would leverage best practices in database schema design, data modeling, and indexing strategies necessary for scalability. This involves using sharding for distribution and replication for availability, ensuring a robust architecture that can adapt to growth.

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Can you explain your experience with cloud technologies in relation to MongoDB?

Certainly! My experience with cloud technologies includes deploying applications on platforms like AWS, Google Cloud, and Azure. I have worked on using MongoDB Atlas to create fully-managed, scalable databases in the cloud, ensuring high availability and performance. Additionally, I have integrated cloud services such as serverless architectures and data lakes to enhance application performance.

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How do you stay updated on industry trends and technologies?

I stay updated on industry trends and technologies by following leading tech publications, attending relevant webinars, and participating in community meet-ups. I am also an active member of online forums and groups focused on MongoDB and its ecosystem, which allows me to engage with other professionals and share insights on emerging technologies.

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Describe a situation where you had to convince a client to adopt a new technology or approach.

In a previous role, I encountered a client hesitant to migrate from a legacy database to MongoDB. I organized a demo showcasing the benefits of MongoDB, focusing on its scalability and flexibility. I presented case studies from similar industries and engaged with their technical team to address concerns. By illustrating tangible benefits, I successfully guided them to make the transition.

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What techniques do you use when handling client objections?

When handling client objections, I employ active listening to understand their concerns fully. I validate their feelings and provide relevant examples or data that counter their objections while also sharing success stories from other clients. This approach fosters trust and keeps conversations focused on finding the best solutions for their needs.

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How would you prepare for a technical presentation to a prospective client?

To prepare for a technical presentation to a prospective client, I would start by understanding their business challenges and objectives. I would tailor my presentation to address these points directly, ensuring the use of relatable language. I would include live demos of MongoDB’s capabilities, and prepare to answer any technical queries, ensuring the material is engaging and relevant.

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What's your approach to collaborating with sales teams in achieving client goals?

My approach to collaborating with sales teams involves proactive communication and joint strategy sessions. I believe in establishing clear roles and sharing insights on technical solutions that can effectively address client pain points. I contribute to account planning, help qualify opportunities, and align our technical capabilities with client needs for effective sales outcomes.

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What is your experience with data modeling in MongoDB?

I have extensive experience with data modeling in MongoDB, where I focus on designing schemas that optimize data retrieval and maintain relationships between collections. I utilize techniques such as embedding and referencing to balance performance and storage needs, ensuring the database structure supports application functionality effectively.

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How do you measure customer satisfaction and success during a project?

During a project, I measure customer satisfaction through regular check-ins, feedback sessions, and performance metrics. I assess whether the delivered solutions meet their expectations and address any pain points. I ensure that customer success is a priority by being responsive to their needs and making adjustments as required throughout the implementation.

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Can you share your experience with application deployments in a multi-cloud environment?

I have successfully deployed applications in multi-cloud environments, utilizing MongoDB Atlas for data management. This experience involved orchestrating data replication and distribution across clouds to ensure high availability. I have also worked on integrating services like Kubernetes for container orchestration, enabling seamless deployments across various cloud providers.

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MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.

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Full-time, hybrid
DATE POSTED
March 21, 2025

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