Senior Solutions Architect
MongoDB is hiring a Senior Solutions Architect. Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions MongoDB Atlas, Python and Node.js among its tools and skills.
- Level classes it as a senior role.
- MongoDB has 382 other open roles on Level.
AI in this role
Design and build scalable modern applications and AI-powered solutions as a pre-sales partner solutions architect.
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 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, our partner ecosystem, and the needs of our customers.
MongoDB Partner Solutions Architects are responsible for helping partners, customers, and MongoDB field teams design and build reliable, scalable, and modern applications on MongoDB. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success. You will work closely with partner leaders, MongoDB account teams, cloud and ecosystem partners, and customers across the region to help create partner-led demand, shape technical strategy, and win business. You will 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 Tokyo, Japan for our hybrid working model.
As an ideal candidate, you will have:
- 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 of experience with modern scripting languages such as Python, Node.js, or SQL and/or popular programming languages such as Java, C#, or C/C++ in a professional capacity
- Experience designing scalable and highly available distributed systems in the cloud and on premises
- Demonstrated ability to work with customers and partners to review complex application architectures and guide modernization, migration, and innovation strategies
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts clearly to developers, architects, partner stakeholders, and executive audiences
- Ability to partner with sales teams and partner teams to drive a multi-threaded account and ecosystem strategy across Japan
- Working knowledge of major cloud platforms and how MongoDB Atlas integrates with hyperscaler ecosystems
- A strong understanding of partner business models, partner value propositions, and partner enablement motions
- 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 AWS, Google Cloud, or Microsoft Azure
- Experience with database programming and data models
- Experience in data engineering, modernization, or AI/ML projects
- Experience transforming legacy systems into modern, scalable, and efficient application architectures
- Understanding of popular sales methodologies or frameworks such as MEDDPICC or Command of the Message
- Experience building technical demos, workshops, reference architectures, or repeatable field assets for partner-led motions
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex partner and customer opportunities where success depends on strong technical judgment, ecosystem alignment, and the ability to execute across multiple stakeholders in parallel.
Solution architecture and field partnership
- Design scalable, performant applications, systems, and infrastructure on MongoDB for partner-led and partner-influenced opportunities
- Work closely with MongoDB account teams, field SAs, cloud specialists, and partners to strengthen MongoDB’s technical value proposition for customer use cases.
- Guide customers and partners through architecture reviews, design decisions, modernization patterns, and technical best practices on MongoDB Atlas.
- Support proofs of concept, proofs of value, technical validations, sizing, and technical decision criteria to help advance and close opportunities.
- Provide technical guidance in competitive situations and help position MongoDB effectively against alternative solutions in the market.
Partner enablement and ecosystem development
- Build and maintain trusted relationships with partner architects, engineers, and technical leaders, reinforcing how MongoDB adds value within the broader ecosystem.
- Support and scale partner enablement programs through workshops, bootcamps, technical sessions, certification readiness, and reusable collateral.
- Help drive partner center-of-excellence strategies, joint solution development, and technical readiness within cloud, GSI, ISV, and other ecosystem partners
- Mentor partner organizations on architecture patterns, technical operations, and best practices for building with MongoDB.
Technical content, demos, and thought leadership
- Design, build, and maintain compelling technical demos, workshops, presentations, and solution blueprints that showcase MongoDB integrated with cloud-native and partner technologies.
- Create and contribute to technical artifacts such as blogs, reference architectures, technical presentations, and enablement content in collaboration with partner and field teams.
- Represent MongoDB at partner events, MongoDB-hosted events, developer days, webinars, executive forums, and account-based marketing programs across the region.
- Act as a thought leader for modern application design, cloud architecture, AI-ready data platforms, and partner-led solution development.
Sales partnership and operational excellence
- Collaborate with sales and partner teams on account planning, opportunity prioritization, technical discovery, presentations, demos, and follow-up actions across multiple opportunities in parallel.
- Translate technical concepts and architecture patterns into business value for management, executives, and partner stakeholders.
- Respond to technical questions from internal MongoDB teams and partners through live working sessions, Slack, and email, and serve as a regional escalation point when needed.
- Maintain strong operating discipline through activity tracking, opportunity hygiene, and workload visibility in systems such as Salesforce.
Innovation, feedback, and team contribution
- Gather and relay field feedback to Product, Marketing, and partner teams to improve technical assets, messaging, and product direction.
- Proactively identify reusable best practices, playbooks, and assets that improve scale and consistency across the Partner Solutions Architecture organization.
- Support onboarding, mentoring, and knowledge sharing across the broader Solutions Consulting and partner architecture community.
What you will learn:
MongoDB product suite mastery
- Core Database Server
- Atlas, including advanced services such as Atlas Search, Atlas Vector Search, Atlas Stream Processing, and related platform capabilities.
- Relational Migrator and migration strategies
- Ecosystem integrations and tooling across cloud and infrastructure-as-code workflows.
Market-relevant technologies
- Deep expertise in designing with hyperscaler services across AWS, Google Cloud, and Microsoft Azure.
- Complementary technologies such as Apache Kafka, Kubernetes, APIs, streaming, and cloud-native services.
Modern architecture design
- Best practices in microservices, event-driven systems, DevOps, cloud, security, and AI-ready application design.
- Patterns for helping customers and partners modernize legacy workloads and build intelligent applications with MongoDB.
Sales techniques and soft skills
- Presentations, demonstrations, whiteboarding, discovery, objection handling, and executive value articulation.
Industry and ecosystem exposure
- A broad spectrum of customers, partner types, and use cases across the Japan region, including cloud partners, GSIs, ISVs, and strategic ecosystem motions.
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 AI-native startups and approximately 75% of the Fortune 100, 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.
Req ID - 3273517065
How we rate this
Senior Solutions Architect at MongoDB rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $168k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where technical advisory was part of your work. What did you do?
- Walk me through how you've used MongoDB Atlas in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Pre Sales, Cloud Architecture, Distributed Systems, Technical Advisory, and MongoDB Atlas. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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