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Senior Solutions Architect (Search Specialist)
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At a glance
- Employment type
- Full-time
- Workplace
- Remote
- Category
- Architecture
Technologies & skills
Primary technologies
Cloud & infrastructure
Other technical skills
What you'll be doing
Senior Solutions Architect (Search Specialist) at MongoDB, focusing on Atlas Search within the pre-sales organization. Guide customers in designing scalable systems, support sales, and act as a trusted advisor. Collaborate globally, enable teams, and provide feedback to enhance search offerings. Remote role based in Ireland.
- Design systems, applications, and infrastructure using MongoDB and Atlas Developer Data Platform
- Advise customers on architectures, patterns, and strategies for MongoDB
- Articulate the business value of MongoDB solutions
- Support sales with technical discovery, demos, proof of value, and documentation
- Translate technical concepts into business benefits
- Act as liaison between field and Product Management
- Participate in trade-shows and marketing events
- Mentor other pre-sales team members
Key requirements
Must-have
- 3+ years of search expertise (e.g. Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar)
- 3+ years of software development experience
- 3+ years of pre-sales experience with enterprise software
- Ability to code with two or more modern scripting or programming languages
- Experience with scalable and highly available distributed systems
- Excellent presentation and interpersonal skills
- Bachelor’s degree or equivalent work experience
- Ability to travel approximately 25% of the time
Nice-to-have
- Experience selling databases and/or deploying applications with major cloud providers
- Experience with database programming and data models
- MongoDB Certification
- Major cloud provider certification
Experience: 3+ years search expertise, 3+ years software development, 3+ years pre-sales enterprise software
Role signals
- Technical focus
- architecture, pre-sales, search specialization, customer advisory
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
We are looking for hardworking 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 craft and build reliable, scalable systems using our data platform. Our team is made up of hardworking 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 reps and play 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.
As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is seeking an expert in application search. This role will focus on being a product specialist of Atlas Search within the presales organization. Beyond the normal tasks of a MongoDB Solutions Architect, this specialist role will operate in a worldwide team, assist in the most complex search deal cycles, assist in search enablement, and work closely with the Atlas Search product team to close the feedback loop and further enhance the product moving forward. This includes both lexical and semantic search offerings.
This role will be based remotely in Barcelona, Dublin & London.
As an ideal candidate, you will have
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3+ years of search expertise (Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar)
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3+ years of software development experience
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3+ years of pre-sales experience with enterprise software
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Solid understanding and ability to code with two or more modern scripting languages (e.g. Python, Node.js, etc) and/or popular programming languages (e.g. C, C++, C#, Java, etc)
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Experience with scalable and highly available distributed systems
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Excellent presentation and interpersonal skills
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A Bachelor’s degree or equivalent work experience
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Ability to travel approximately 25% of the time
You may also have
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Experience selling databases and/or deploying applications with any of the major cloud providers
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Experience with database programming and data models
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A MongoDB Certification
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A major cloud provider certification
What you do at MongoDB
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Design systems, applications, and infrastructure to help drive software development projects using MongoDB and the Atlas Developer Data Platform (DDP)
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Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
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Expertly articulate the business value of MongoDB solutions
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Align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
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Translate technical concepts and patterns into business benefits for management and executives
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Act as a liaison, collecting feedback from the field to relay back to the Product Management team
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Help drive demand through participation in both industry-known trade-shows as well account-based marketing events
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Demonstrate resilience and sound judgment in dealing with business challenges
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Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
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Help enable other solutions architects with knowledge on search technical and business concepts as well as build tools to allow other SAs to demonstrate these concepts
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Assist in the direction of Vector Search and AI/ML through taking customer needs and interactions to Product Management
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Embody MongoDB’s core values in our interactions with internal teams and customers
What you will learn
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The rapidly growing MongoDB product suite, including
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Core database server
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Atlas (fully managed cloud database service)
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The Atlas Developer Data Platform including Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Atlas for the Edge, Realm, Charts, and Atlas Streams Processing
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Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
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Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
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Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security
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: 426467
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Senior Solutions Architect (Search Specialist) role at MongoDB focuses on pre-sales technical leadership, specializing in search technologies and the Atlas Developer Data Platform. The position emphasizes customer advisory, architecture design, and acting as a subject matter expert for search within a global pre-sales team.
- Search technology depth·Medium
- Pre-sales technical advisory·High
- Distributed systems architecture·High
- Mentoring and enablement·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Atlas Search and MongoDB Atlas Platform
0–8 minStudy the documentation and recent updates for Atlas Search and the Atlas Developer Data Platform, focusing on features relevant to enterprise search.
Refresh Search Technology Fundamentals
8–15 minRevisit your experience with Elasticsearch, Lucene, Solr, or similar, and prepare to discuss architecture, scaling, and integration.
Prepare Pre-Sales and Customer Advisory Examples
15–21 minSelect and structure 2-3 stories that showcase your pre-sales support, technical demos, and customer advisory skills.
Review Distributed Systems and Cloud Architecture Experience
21–26 minSummarize your experience with distributed, scalable systems and cloud platforms, ready to discuss specific challenges and solutions.
Plan Questions and Research Team Dynamics
26–30 minDraft thoughtful questions about team collaboration, product feedback, and mentoring opportunities to ask during the interview.
Talking points
, 6 itemsDemonstrating Search Expertise
You will need to provide concrete examples of designing or implementing search solutions using technologies like Elasticsearch, Lucene, or Solr, as this is a core requirement.
Pre-Sales Engagements and Customer Advisory
Prepare to discuss how you have supported sales cycles, conducted technical discovery, delivered demos, or influenced technical decision-making for enterprise customers.
Designing Scalable Distributed Systems
You should be ready to explain your experience architecting reliable, scalable, and highly available systems, especially in cloud or hybrid environments.
Translating Technical Solutions to Business Value
Expect to illustrate how you have communicated complex technical concepts to non-technical stakeholders and demonstrated business impact.
Mentoring and Enabling Teams
Be prepared to share examples of mentoring peers, enabling teams with new technologies, or building tools to support technical enablement.
Feedback Loop with Product Teams
You may be asked about your experience relaying customer feedback to product management and influencing product direction.
What to research
, 4 itemsAtlas Search and MongoDB Atlas Developer Data Platform
Review the features, capabilities, and differentiators of Atlas Search and the broader Atlas platform, including full-text and vector search.
Search Technology Deep Dive
Refresh your knowledge of Elasticsearch, Lucene, Solr, or similar search engines, focusing on architecture, scaling, and integration patterns.
Pre-Sales Process and Technical Sales Enablement
Understand the typical pre-sales workflow, including technical discovery, demos, proof of value, and documentation best practices.
Distributed Systems and Cloud Architecture
Prepare to discuss your experience with distributed, scalable, and highly available systems, especially in cloud environments (AWS, Azure, Kubernetes).
Questions to ask
, 6 itemsHow does the Solutions Architect (Search Specialist) role interact with the Atlas Search product team?
Why ask this? To understand the feedback loop and influence on product direction.
What are the most common search-related challenges faced by MongoDB customers today?
Why ask this? To gain insight into real-world customer pain points and priorities.
How is success measured for this role within the pre-sales organization?
Why ask this? To clarify performance expectations and key metrics.
What opportunities exist for mentoring and enabling other team members?
Why ask this? To explore the leadership and knowledge-sharing aspects of the role.
How does the team stay up to date with advancements in search and AI/ML technologies?
Why ask this? To understand the company's approach to continuous learning and innovation.
What is the typical customer profile or industry focus for this specialist team?
Why ask this? To tailor your preparation to the types of customers you will engage with.
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