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MongoDB

Builds document databases for software teams

Senior Software Engineer - Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of experience as a field engineer, professional services consultant, or full-stack developer working directly with enterprise clients.
  • Proficiency in Java or C#, and familiarity with common database access patterns and frameworks in one or more of these languages.
  • Strong knowledge of enterprise-scale software architectures, application development methodologies, and software deployment and operations.
  • Experience developing enterprise applications using relational databases and employing SQL and stored procedures with Oracle, Microsoft SQL Server, Sybase, and/or PostgreSQL databases.
  • Ability to collaborate across disciplines and teams to address technical and business challenges.
  • Willingness to learn complex domains, ask relevant questions, and bring software tools and technologies to customer problems.
  • Strong spoken and written communication skills for team and customer interactions.
  • Good understanding of generative AI concepts, tools, and services.
  • Strong interest in how AI-supported toolchains can improve application development.
  • Willingness to work on site with customers for 7 days per month, including regional travel within Europe.

Responsibilities

  • Contribute to customer application modernization initiatives across any or all application lifecycle phases: assessment and analysis; planning and design; data modeling; application code conversion, development, testing, and building; integration and release configuration; production operations; application optimization; and adoption of best practices.
  • Test-drive MongoDB migration products to deliver customer use cases and drive product adoption, and provide concise feedback to the development organization.
  • Work with Product and Engineering teams to influence the MongoDB product roadmap.
  • Personally execute proofs of concept, including developing or extending tools when appropriate for customer success, with a focus on reuse and eventual product integration; these activities often take place at client locations.
  • Maintain broad and deep technical understanding of the product line and underlying technologies and protocols.
  • Work as part of a delivery team with MongoDB Professional Services consulting engineers, project managers, and account teams.
  • Assist sales teams in evaluating opportunities with prospects and customers.
  • Develop a playbook for customer application modernization engagements in collaboration with MongoDB engineers, Product Management, and Engineering.
  • Contribute field experience and insight into customer needs, product requirements, and strategic opportunities.
  • Contribute to the customer application migration initiatives they support.

Desired Qualifications

  • Experience using and developing with MongoDB and JSON-based document models.
  • Experience building new applications or tools using generative AI, including Cursor, Claude Code, Gemini, or OpenAI APIs.

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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