Senior Solutions Architect (Search Specialist)

MongoDB
Barcelona +2 more
Remote

Who this role is best for

Aimed at experienced technologists with search expertise who thrive in global collaboration and enterprise environments.

Best fit for

  • Experienced search technologists with a background in enterprise pre-sales and software development
    — “3+ years of search expertise (Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar)”
  • Candidates who can bridge technical and business concepts for enterprise clients
    — “Translate technical concepts and patterns into business benefits for management and executives”
  • Individuals with a global mindset and ability to collaborate across teams and geographies
    — “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”

Things to consider

  • This role requires a 25% travel commitment, which may affect work-life balance or remote work expectations
    — “Ability to travel approximately 25% of the time”
  • The position is based in three European cities, but operates remotely — candidates should consider timezone and location implications
    — “This role will be based remotely in Barcelona, Dublin & London”

How to stand out

  • Emphasize experience with lexical and semantic search technologies in your resume and interview responses
    — “This includes both lexical and semantic search offerings”
  • Highlight your ability to work with distributed systems and cloud-native platforms
    — “Experience with scalable and highly available distributed systems”
  • Showcase your ability to mentor others and share technical knowledge effectively
    — “Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • guiding customers to craft and build reliable, scalable systems using MongoDB and the Atlas Data Platform
  • closing complex search deal cycles
  • assisting in search enablement and working closely with the product team
Typical background
3+ years of search expertise3+ years of software development experience3+ years of pre-sales experience with enterprise software

Skills & requirements

Required

Search Expertise (elasticsearch, Lucene, Solr, Algolia, Lucidworks)Software Development ExperiencePre-sales Experience With Enterprise SoftwareCoding With Modern Scripting Languages (python, Node.js) And/or Popular Programming Languages (C, C++, C#, Java)Experience With Scalable And Highly Available Distributed Systems

Preferred

Experience Selling Databases And/or Deploying Applications With Cloud ProvidersDatabase Programming And Data ModelsMongodb CertificationCloud Provider Certification

Stack & domain

PythonNode.jsCC++C#JavaElasticsearchLuceneSolrAlgoliaLucidworksPresentationInterpersonalMongodb CertificationMajor Cloud Provider CertificationSoftware ArchitectureEnterprise SoftwareScalable And Highly Available Distributed Systems

About the role

Original posting from MongoDB

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

3+ years of search expertise (Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar) 

3+ years of software development experience

3+ years of pre-sales experience with enterprise software

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)

Experience with scalable and highly available distributed systems

Excellent presentation and interpersonal skills

A Bachelor’s degree or equivalent work experience

Ability to travel approximately 25% of the time

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

A MongoDB Certification

A major cloud provider certification

What you do at MongoDB

Design systems, applications, and infrastructure to help drive software development projects using MongoDB and the Atlas Developer Data Platform (DDP)

Advise customers on architectures, patterns, and strategies for making the best use of MongoDB

Expertly articulate the business value of MongoDB solutions

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

Translate technical concepts and patterns into business benefits for management and executives

Act as a liaison, collecting feedback from the field to relay back to the Product Management team

Help drive demand through participation in both industry-known trade-shows as well account-based marketing events

Demonstrate resilience and sound judgment in dealing with business challenges

Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies

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 

Assist in the direction of Vector Search and AI/ML through taking customer needs and interactions to Product Management

Embody MongoDB’s core values in our interactions with internal teams and customers

What you will learn

The rapidly growing MongoDB product suite, including

Core database server

Atlas (fully managed cloud database service)

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

Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark

Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes

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

Source: MongoDB careers

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