M

MongoDB

Builds document databases for software teams

Senior Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • Ideally, have 8 to 11 years of related experience in a customer-facing role, including 5 to 7 years of pre-sales experience with enterprise software.
  • Have a minimum of 3 years of professional experience with modern scripting languages such as Python, Node.js, or SQL, and/or popular programming languages such as C/C++, Java, or C#.
  • Have experience designing scalable and highly available distributed systems in cloud and on-premises environments.
  • Demonstrate the ability to lead architecture reviews for complex, multi-component applications and platforms, identify risks, evaluate trade-offs, and provide guidance to modernize, optimize, and de-risk solutions.
  • Be able to present and communicate complex technical and business concepts clearly to technology and business leadership.
  • Be able to partner with Sales Leadership and Account Executives on multi-threaded account and territory strategies, prioritize opportunities, challenge assumptions constructively, and align resources around measurable outcomes.
  • Demonstrate the ability to connect technical recommendations to customer business drivers, measurable outcomes, ROI/TCO, and success criteria.
  • Have experience leading conversations with senior technical and business stakeholders, including executives, and influencing long-term modernization, data, and AI strategies.
  • Demonstrate the ability to create reusable reference architectures, demos, playbooks, or enablement content that improves the effectiveness of other Solutions Architects.
  • Be able to travel up to 25%.
  • Have a Bachelor’s degree or equivalent work experience.

Responsibilities

  • Own the end-to-end technical strategy for complex opportunities, designing scalable and performant applications, systems, and infrastructure leveraging MongoDB; lead architecture reviews, evaluate trade-offs, and reduce technical risk across cloud, on-premises, and hybrid environments.
  • Lead discovery with technical and business stakeholders to understand customer priorities, business drivers, and success measures; guide customers on architecture, modernization, optimization, and AI patterns while connecting MongoDB capabilities to measurable business value.
  • Partner with Account Executives and Sales Leadership on account planning, opportunity prioritization, qualification, and pipeline-generation strategy; own the technical aspects of the sales cycle, including discovery, demonstrations, proof of value, proposals, sizing, ROI/TCO analysis, presentations, and documentation, and challenge assumptions constructively.
  • Build trusted relationships with architects, developers, operations leaders, and executives across multiple teams and workloads; develop champions, navigate stakeholder dynamics, and maintain strategic relationships beyond individual sales opportunities.
  • Generate demand within the sales territory through technical workshops, executive briefings, user groups, webinars, industry events, account-based marketing activities, and other self-driven initiatives.
  • Define technical success criteria and help customers achieve adoption, reduce risk, and accelerate time-to-value; foster strong customer relationships and support modernization, migration, and AI initiatives.
  • Create reusable reference architectures, demos, playbooks, and technical content; relay structured field feedback to Product and Engineering, mentor other Solutions Architects, and improve MongoDB solutions and engagement practices.
  • Engage in ongoing training and professional development to stay current with MongoDB products, cloud-native architectures, AI and retrieval-augmented generation patterns, data security, observability, and industry trends.

Desired Qualifications

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

About the Company

MongoDB

Builds document databases for software teams

MongoDB builds databases for software teams that need to store and retrieve application data without fitting every record into fixed rows and columns. Its flagship Atlas service runs the database in the cloud and combines it with tools for search, real-time analytics and AI retrieval. Data is stored as flexible documents, letting developers change an application's structure while keeping related information together. Customers pay for cloud resources and usage, or buy Enterprise Advanced subscriptions to run the software themselves with monitoring, management tools and technical support. MongoDB was founded in 2007 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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